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气象观测场在汽车试验场中的应用研究 认领 引用 被引量：1
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作者 陈海建 《时代汽车》 2024年第14期172-174,178,共3页
汽车试验场作为汽车开展道路测试的重要场所,用于验证汽车产品的品质以及可靠性。除了场地道路外,气象条件作为汽车道路测试的重要一环,在《GB/T12534-1990汽车道路试验方法通则》中也有明确要求,如:试验时应是无雨无雾天气,相对湿度小... 汽车试验场作为汽车开展道路测试的重要场所,用于验证汽车产品的品质以及可靠性。除了场地道路外,气象条件作为汽车道路测试的重要一环,在《GB/T12534-1990汽车道路试验方法通则》中也有明确要求,如:试验时应是无雨无雾天气,相对湿度小于95%,气温0-40℃,风速不大于3m/s。同时气象条件也作为试验场道路管控的重要依据,实时风速、雨量、能见度等信息为场地管理者发布限速、限行、封场等通知提供必要参考依据,直接影响道路测试安全管控的及时性。因此,文章从气象观测场的建设、气象服务、异常天气道路管控等方面开展气象观测场在汽车试验场中的应用研究。 展开更多
关键词 汽车试验场 气象服务 道路管控 products. In addition to the site roads meteorological conditions are an important part of automotive road testing and there are also clear requirements in the GB/T12534-1990 General Rules for Automotive Road Test Methods. For example the test should be conducted in rain and fog free weather with a relative humidity of less than 95% a temperature of 0-40 ℃ and a wind speed of no more than 3m/s. At the same time meteorological conditions also serve as an important basis for road control in the test site. Real time information such as wind speed rainfall and visibility provides necessary reference for site managers to issue notices on speed limits site closures and traffic restrictions directly affecting the timeliness of road testing safety control. Therefore this article conducts research on the application of meteorological observation sites in automotive testing sites from the construction of meteorological observation sites meteorological services and abnormal weather road control.
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Adaptive Fuzzy Sliding Mode Controller for Grid Interface Ocean Wave Energy Conversion 认领 引用
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作者 Adel A. A. Elgammal 《Journal of Intelligent Learning Systems and Applications》 2014年第2期53-69,共17页
This paper presents a closed-loop vector control structure based on adaptive Fuzzy Logic Sliding Mode Controller (FL-SMC) for a grid-connected Wave Energy Conversion System (WECS) driven Self-Excited Induction Generat... This paper presents a closed-loop vector control structure based on adaptive Fuzzy Logic Sliding Mode Controller (FL-SMC) for a grid-connected Wave Energy Conversion System (WECS) driven Self-Excited Induction Generator (SEIG). The aim of the developed control method is to automatically tune and optimize the scaling factors and the membership functions of the Fuzzy Logic Controllers (FLC) using Multi-Objective Genetic Algorithms (MOGA) and Multi-Objective Particle Swarm Optimization (MOPSO). Two Pulse Width Modulated voltage source PWM converters with a carrier-based Sinusoidal PWM modulation for both Generator- and Grid-side converters have been connected back to back between the generator terminals and utility grid via common DC link. The indirect vector control scheme is implemented to maintain balance between generated power and power supplied to the grid and maintain the terminal voltage of the generator and the DC bus voltage constant for variable rotor speed and load. Simulation study has been carried out using the MATLAB/Simulink environment to verify the robustness of the power electronics converters and the effectiveness of proposed control method under steady state and transient conditions and also machine parameters mismatches. The proposed control scheme has improved the voltage regulation and the transient performance of the wave energy scheme over a wide range of operating conditions. 展开更多
关键词 Grid integration Wave Energy Conversion Systems Self-Excited Induction Generator (SEIG) Vector Control Genetic Algorithm (GA) Particle Swarm Optimization (PSO) Sliding Mode Control (SMC) Fuzzy Logic Control (FLC) Membership Function Tuning
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A Novel Distributed Controller Design for Robust Global Coordination of MASs With Heterogeneous Saturation 认领 引用 被引量：1
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作者 Xiaoling Wang Shengnan Zhu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第1期230-232,共3页
Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distr... Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distributed control framework that strategically integrates a redesigned saturation function to handle the nonlinear actuator constraint and a high-gain feedback mechanism for effective disturbance rejection. 展开更多
关键词 robust global coordination disturbance rejection nonlinear actuator constraint distributed control multi agent systems actuator saturation distributed control framework heterogeneous actuator saturation
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A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources 认领 引用 被引量：6
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作者 Aurobindo Behera Tapas Kumar Panigrahi +1 位作者 PrakashK·Ray Arun Kumar Sahoo 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2019年第6期1438-1451,共14页
Present day power scenarios demand a high quality uninterrupted power supply and needs environmental issues to be addressed. Both concerns can be dealt with by the introduction of the renewable sources to the existing... Present day power scenarios demand a high quality uninterrupted power supply and needs environmental issues to be addressed. Both concerns can be dealt with by the introduction of the renewable sources to the existing power system. Thus, automatic generation control(AGC) with diverse renewable sources and a modified-cascaded controller are presented in the paper.Also, a new hybrid scheme of the improved teaching learning based optimization-differential evolution(hITLBO-DE) algorithm is applied for providing optimization of controller parameters. A study of the system with a technique such as TLBO applied to a proportional integral derivative(PID), integral double derivative(IDD) and PIDD is compared to hITLBO-DE tuned cascaded controller with dynamic load change.The suggested methodology has been extensively applied to a 2-area system with a diverse source power system with various operation time non-linearities such as dead-band of, generation rate constraint and reheat thermal units. The multi-area system with reheat thermal plants, hydel plants and a unit of a wind-diesel combination is tested with the cascaded controller scheme with a different controller setting for each area. The variation of the load is taken within 1% to 5% of the connected load and robustness analysis is shown by modifying essential factors simultaneously by± 30%. Finally, the proposed scheme of controller and optimization technique is also tested with a 5-equal area thermal system with non-linearities. The simulation results demonstrate the superiority of the proposed controller and algorithm under a dynamically changing load. 展开更多
关键词 Automatic generation control(AGC) cascaded controller hybrid improved teaching learning based optimization-differential evolution(hITLBO-DE) algorithm integral of square time multiplied by square error(ISTSE)
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Kautz Function Based Continuous-Time Model Predictive Controller for Load Frequency Control in a Multi-Area Power System 认领 引用
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作者 A.Parassuram P.Somasundaram 《Computer Modeling in Engineering & Sciences》 SCIE EI 2018年第11期169-187,共19页
A continuous-time Model Predictive Controller was proposed using Kautz function in order to improve the performance of Load Frequency Control(LFC).A dynamic model of an interconnected power system was used for Model P... A continuous-time Model Predictive Controller was proposed using Kautz function in order to improve the performance of Load Frequency Control(LFC).A dynamic model of an interconnected power system was used for Model Predictive Controller(MPC)design.MPC predicts the future trajectory of the dynamic model by calculating the optimal closed loop feedback gain matrix.In this paper,the optimal closed loop feedback gain matrix was calculated using Kautz function.Being an Orthonormal Basis Function(OBF),Kautz function has an advantage of solving complex pole-based nonlinear system.Genetic Algorithm(GA)was applied to optimally tune the Kautz function-based MPC.A constraint based on phase plane analysis was implemented with the cost function in order to improve the robustness of the Kautz function-based MPC.The proposed method was simulated with three area interconnected power system and the efficiency of the proposed method was measured and exhibited by comparing with conventional Proportional and Integral(PI)controller and Linear Quadratic Regulation(LQR). 展开更多
关键词 Load frequency control model predictive controller orthonormal basis function kautz function phase plane analysis linear quadratic regulator proportional and integral controller genetic algorithm.
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Robust Sensor—Less PR Controller Design for 15-PUC Multilevel Inverter Topology with Low Voltage Stress for Renewable Energy Applications 认领 引用
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作者 K.Naga Venkata Siva Damodhar Reddy +3 位作者 P.Krishna Murthy Kiran Kumar Pulamolu M.Dharani T.Venkatakrishnamoorthy 《Energy Engineering》 EI 2026年第1期221-242,共22页
Conventional multilevel inverters often suffer from high harmonic distortion and increased design complexity due to the need for numerous power semiconductor components,particularly at elevated voltage levels.Addressi... Conventional multilevel inverters often suffer from high harmonic distortion and increased design complexity due to the need for numerous power semiconductor components,particularly at elevated voltage levels.Addressing these shortcomings,thiswork presents a robust 15-level PackedUCell(PUC)inverter topology designed for renewable energy and grid-connected applications.The proposed systemintegrates a sensor less proportional-resonant(PR)controller with an advanced carrier-based pulse width modulation scheme.This approach efficiently balances capacitor voltage,minimizes steady-state error,and strongly suppresses both zero and third-order harmonics resulting in reduced total harmonic distortion and enhanced voltage regulation.Additionally,a novel switching algorithm simplifies the design and implementation,further lowering voltage stress across switches.Extensive simulation results validate the performance under various resistive and resistive-inductive load conditions,demonstrating compliance with IEEE-519 THD standards and robust operation under dynamic changes.The proposed sensorless PR-controlled 15-PUC inverter thus offers a compelling,cost-effective solution for efficient power conversion in next-generation renewable energy systems. 展开更多
关键词 PUC packed U cell MLI multilevel inverter SLC sensorless controller PR proportional resonant controller PD phase disposition THD total harmonic distortion
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A Review on Global Trends in Inverter Topologies,Controllers,Applications,Challenges and Solutions 认领 引用
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作者 Md.Liton Hossain Md.Zahid Ansary +3 位作者 Jiefeng Hu Syed Islam Maaspaliza Azri Norezmi Md.Jamal 《Energy Engineering》 EI 2026年第8期454-478,共25页
Inverters play an essential and indispensable role in energy conversion within modern electrical power systems.Conventional two-level inverters(2LIs)have been widely adopted across industrial applications due to their... Inverters play an essential and indispensable role in energy conversion within modern electrical power systems.Conventional two-level inverters(2LIs)have been widely adopted across industrial applications due to their simple structure and mature control strategies.However,2LIs exhibit several limitations when interfacing with utility-scale grid systems,including higher harmonic distortion,increased switching stress,and reduced efficiency in high-voltage and high-power operations.Multilevel Inverters(MLIs)have emerged as a transformative solution,enabling high-voltage and high-power applications with improved efficiency and significantly lower harmonic distortion compared to traditional two-level configurations.This review investigates the broad range of applications of 2LIs,along with their operational constraints,and provides a comprehensive overview of major MLI topologies,including neutral-point-clamped(NPC),flying-capacitor(FC),cascaded H-bridge(CHB),hybrid structures,transformer-based converters,and matrix converters.Key modulation and control techniques are also discussed,such as SPWM,SHE,SVPWM and random PWM.Furthermore,this paper highlights the practical deployment of MLIs in industrial motor drives,renewable energy integration,uninterruptible power supplies,and energy storage systems.Beyond technical aspects,global trends in inverter development are examined by comparing efficiencies,capabilities,and challenges among major manufacturers worldwide.Overall,MLIs are presented as scalable,efficient,and reliable converter solutions for the future of industrial and utility-scale power systems,offering valuable insight into current advancements and promising research directions. 展开更多
关键词 Inverter MLIs topologies controllers application industrial inverters challenges and solutions
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Hybrid Controller for Steady Speed of Agricultural Machinery on Slopes 认领 引用 被引量：1
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作者 WU Caicong XU Haisong GAO Xingyu 《农业机械学报》 EI CAS CSCD 北大核心 2026年第2期416-426,共11页
Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybr... Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybrid control method was proposed.This method included a hybrid controller composed of a slope-based controller and a proportional-integral-derivative(PID)controller.The speed of agricultural machinery was influenced by longitudinal forces,which were divided into two parts:one part was slope-related forces and conventional resistance,and the other was hard-to-estimate forces,such as sliding friction.For the first part,a slope-based controller was designed;for the second part,a PID controller was implemented.By combining these two controllers,the system can dynamically adjust the throttle opening and the brake master cylinder pressure,ensuring steady speed travel on sloping farmland.Simulation tests at a target speed of 7 km/h demonstrated that the proposed controller maintained a stable speed,achieving a root mean square error of 0.13 km/h and a mean absolute percentage error of 1.6%.Field tests on a practical experimental platform validated the method’s effectiveness,with results showing consistent control performance across varying slope conditions.The proposed controller demonstrated superior control performance.Experimental data verified that this method can achieve precise control of the agricultural machinery’s movement speed,meeting the stability requirements for agricultural operations. 展开更多
关键词 farmland slope PID controller steady speed control agricultural machinery unmanned operation
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A Linear Quadratic Controller Design Incorporating a Parametric Sensitivity Constraint 认领 引用
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作者 Mohamed Yagoubi 《International Journal of Automation and computing》 CSCD 2019年第4期553-562,共10页
The purpose of this paper is to propose a synthesis method of parametric sensitivity constrained linear quadratic (SCLQ) controller for an uncertain linear time invariant (LTI) system. System sensitivity to parameter ... The purpose of this paper is to propose a synthesis method of parametric sensitivity constrained linear quadratic (SCLQ) controller for an uncertain linear time invariant (LTI) system. System sensitivity to parameter variation is handled through an additional quadratic trajectory parametric sensitivity term in the standard LQ criterion to be minimized. The main purpose here is to find a suboptimal linear quadratic control taking explicitly into account the parametric uncertainties. The paper main contribution is threefold: 1) A descriptor system approach is used to show that the underlying singular linear-quadratic optimal control problem leads to a non-standard Riccati equation. 2) A solution to the proposed control problem is then given based on a connection to the so-called Lur'e matrix equations. 3) A synthesis method of multiple parametric SCLQ controllers is proposed to cover the whole parametric uncertainty while degrading as less as possible the intrinsic robustness properties of each local linear quadratic controller. Some examples are presented in order to illustrate the effectiveness of the approach. 展开更多
关键词 Linear quadratic control parametric uncertainties trajectory sensitivity non-standard Riccati equation Lur'e matrix equations linear time invariant (LMI) particle swarm optimization
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A Hybrid MZOA-PSO Optimized Cascaded PI(1+DD)-PI-PID Controller for Frequency Stability of Interconnected Power Systems with Renewable Energy and Electric Vehicles 认领 引用
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作者 AL-Wesabi Ibrahim Hassan M.Hussein Farh +3 位作者 Jiazhu Xu Mohamad A.Alawad Ahmed Alqurashi Abdullrahman A.Al-Shamma’a 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期650-697,共48页
Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable e... Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable energy sources and the impact of electric vehicles on the power system.Although various PI/PID and other advanced control strategies have been employed for LFC in power systems,the existing methods have shown some limitations in terms of dynamic flexibility and robustness in the presence of nonlinearities and couplings in the power systems.Moreover,the optimization methods employed for the tuning of the controllers have shown some limitations in terms of the balance between global and local search abilities of the optimization functions.To overcome the limitations of the existing methods and optimization functions,a hybrid Modified Zebra Optimization Algorithm-Particle Swarm Optimization(MZOA-PSO)is presented in this paper for the optimization of a cascaded PI(1+DD)-PI-PID controller for LFC in power systems.The MZOA enhances the original ZOA by chaotic initialization,adaptive parameter control,and Lévy-flight foraging to improve the global search ability,while PSO ensures efficient local search ability.The optimizer is first validated using four benchmark functions,achieving the global optimum for the Booth and Zakharov functions,a mean value of 2.13×10−28 with a 98%success rate for Rosenbrock,and 3.21×10−81 for Schwefel 2.22.Under a 1%step load perturbation,the proposed controller achieves a 13 s settling time,zero negative deviation in Area 2,a maximum positive excursion of 0.10 Hz,and tie-line undershoot limited to−0.10 p.u.Under random load variations,deviations remain within±0.03 Hz and±0.02 p.u.Under RES and EV integration,the peak frequency deviation is reduced to 0.46 Hz in Area 1.These results confirm that the proposed hybrid MZOA-PSO tuned cascaded controller provides improved damping,faster stabilization,and stronger robustness for modern interconnected LFC systems. 展开更多
关键词 Load frequency control cascaded PI(1+DD)-PI-PID controller hybrid MZOA-PSO algorithm interconnected power systems performance optimization
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Fuzzy-GA PID controller with incomplete derivation and its application to intelligent bionic artificial leg 认领 引用 被引量：10
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作者 谭冠政 李安平 《Journal of Central South University of Technology》 2003年第3期237-243,共7页
An optimal PID controller with incomplete derivation is proposed based on fuzzy inference and the geneticalgorithm, which is called the fuzzy-GA PID controller with incomplete derivation. It consists of the off-line p... An optimal PID controller with incomplete derivation is proposed based on fuzzy inference and the geneticalgorithm, which is called the fuzzy-GA PID controller with incomplete derivation. It consists of the off-line part andthe on-line part. In the off-line part, by taking the overshoot, rise time, and settling time of system unit step re-sponse as the performance indexes and by using the genetic algorithm, a group of optimal PID parameters K*p , Ti* ,and Tj are obtained, which are used as the initial values for the on-line tuning of PID parameters. In the on-linepart, based on K; , Ti* , and T*d and according to the current system error e and its time derivative, a dedicatedprogram is written, which is used to optimize and adjust the PID parameters on line through a fuzzy inference mech-anism to ensure that the system response has optimal dynamic and steady-state performance. The controller has beenused to control the D. C. motor of the intelligent bionic artificial leg designed by the authors. The result of computersimulation shows that this kind of optimal PID controller has excellent control performance and robust performance. 展开更多
关键词 fuzzy inference genetic algorithm fuzzy-GA PID controller incomplete derivation off-line on-line intelligent bionic artificial leg
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Self-adaptive PID controller of microwave drying rotary device tuning on-line by genetic algorithms 认领 引用 被引量：8
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作者 杨彪 梁贵安 +5 位作者 彭金辉 郭胜惠 李玮 张世敏 李英伟 白松 《Journal of Central South University》 SCIE EI CAS 2013年第10期2685-2692,共8页
The control design, based on self-adaptive PID with genetic algorithms(GA) tuning on-line was investigated, for the temperature control of industrial microwave drying rotary device with the multi-layer(IMDRDWM) and wi... The control design, based on self-adaptive PID with genetic algorithms(GA) tuning on-line was investigated, for the temperature control of industrial microwave drying rotary device with the multi-layer(IMDRDWM) and with multivariable nonlinear interaction of microwave and materials. The conventional PID control strategy incorporated with optimization GA was put forward to maintain the optimum drying temperature in order to keep the moisture content below 1%, whose adaptation ability included the cost function of optimization GA according to the output change. Simulations on five different industrial process models and practical temperature process control system for selenium-enriched slag drying intensively by using IMDRDWM were carried out systematically, indicating the reliability and effectiveness of control design. The parameters of proposed control design are all on-line implemented without iterative predictive calculations, and the closed-loop system stability is guaranteed, which makes the developed scheme simpler in its synthesis and application, providing the practical guidelines for the control implementation and the parameter design. 展开更多
关键词 industrial microwave drying rotary device self-adaptive PID controller genetic algorithm on-line tuning selenium-enriched slag
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Development and Study on Nitrogen Removal Controller in A/O Process 认领 引用
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作者 马勇 彭永臻 王淑莹 《Journal of Donghua University(English Edition)》 EI CAS 2004年第6期10-15,共6页
In this paper three controllers for A/O process are developed, including a DO cascade controller, an external carbon flow rate controller and an internal recycling flow rate controller. The objective of the different ... In this paper three controllers for A/O process are developed, including a DO cascade controller, an external carbon flow rate controller and an internal recycling flow rate controller. The objective of the different controllers is to control the nitrate and ammonia concentration. Simulation study demonstrated that these controllers could efficiently control nitrogen removal and meet stricter effluent quality standards at a minimum cost. 展开更多
关键词 A/O process, nitrogen removal, DO cascade controller, external carbon flow rate controller, internal recycling flow rate controller
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Disturbance Observer Based Speed Control of PMSM Using Fractional Order PI Controller 认领 引用 被引量：12
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作者 Aishwarya Apte Ujjwala Thakar Vrunda Joshi 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2019年第1期316-326,共11页
In this paper, fractional order PI(FOPI) control is developed for speed control of permanent magnet synchronous motor(PMSM). Designing the parameters for FOPI controller is a challenging task, especially for nonlinear... In this paper, fractional order PI(FOPI) control is developed for speed control of permanent magnet synchronous motor(PMSM). Designing the parameters for FOPI controller is a challenging task, especially for nonlinear systems like PMSM.All three PI controllers in the conventional vector controlled speed drive are replaced by FOPI controllers. Design of these FOPI controllers is based on the locally linearized model of PMSM around an operating point. This operating point changes with the load torque. The novelty of the work reported here is in use of Non Linear Disturbance Observer(NLDO) to estimate load torque to obtain this new operating point. All three FOPI controllers are then designed adaptively using this new operating point. The scheme is tested on simulation using MATLAB/SIMULINK and results are presented. 展开更多
关键词 Fractional order PI (FOPI) non linear disturbance observer (NLDO) permanent magnet synchronous motor(PMSM) vector control
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A Dynamic Matrix Controller with Feedforward for Flow Field in Intermittent Transonic Wind Tunnels 认领 引用
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作者 DU Ning ZHU Wenjie +2 位作者 YAO Dan ZOU Xinlei QIN Jianhua 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第1期55-72,共18页
Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(... Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(PID)control strategy fails to achieve the Mach number control error target of 0.001 and is inept at resisting flow field disturbances caused by rapid changes in angle of attack.Aiming at this problem,this study takes the intermittent transonic wind tunnel of China Aerodynamics Research and Development Center as the research object and optimizes the wind tunnel control system for its characteristics of multi-input multi-output(MIMO),large time delay and nonlinearity.First,the control system structure is reconstructed by introducing ejection pressure as a controlled variable to reduce the time lag from the main pressure regulating valve to the test section,and selecting static pressure instead of Mach number as a controlled variable to weaken the nonlinear coupling between Mach number and static pressure.Second,based on the first-order plus dead time process model of the wind tunnel,a MIMO dynamic matrix controller(DMC)for wind tunnel flow field is designed.Considering the predictable nature of angle-of-attack changes,a feedforward compensation strategy is integrated into the DMC to mitigate the pressure disturbance in the test section caused by the variation of angle of attack.Third,a complete tuning strategy for DMC parameters including sampling time,prediction horizon,control horizon and weight coefficients is formulated according to the wind tunnel model parameters under different Mach numbers.Experimental validations through practical blowing tests are carried out at Mach numbers of 0.578,0.675,0.714 and 0.822 to compare the control performance of the proposed feedforward DMC strategy with the traditional PID control and DMC without feedforward compensation.The results show that the proposed strategy stably controls the Mach number error within 0.001,and significantly improves the stagnation pressure control accuracy and anti-disturbance capability of the wind tunnel flow field.Moreover,the strategy exhibits excellent repeatability and robustness under different Mach number conditions.This study effectively solves the problem of high-precision flow field control under the rapid change of angle of attack in intermittent transonic wind tunnels,and provides a technical reference for the flow field control of complex fluid test devices such as hypersonic wind tunnels. 展开更多
关键词 intermittent transonic wind tunnel flow field control dynamic matrix controller(DMC) feedforward compensation multi-input multi-output(MIMO)system parameter tuning
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Transient Stability Improvement of Power System Using Non-Linear Controllers 认领 引用 被引量：1
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作者 Rekha Chaudhary Arun Kumar Singh 《Energy and Power Engineering》 2014年第1期10-16,共7页
This paper presents the design of a non-linear controller to prevent an electric power system losing synchronism after a large sudden fault and to achieve good post fault voltage level. By Direct Feedback Linearizatio... This paper presents the design of a non-linear controller to prevent an electric power system losing synchronism after a large sudden fault and to achieve good post fault voltage level. By Direct Feedback Linearization (DFL) technique robust non-linear excitation controller is designed which will achieve stability enhancement and voltage regulation of power system. By utilizing this technique, there is a possibility of selecting various control loops for a particular application problem. This method plays an important role in control system and power system engineering problem where all relevant variables cannot be directly measured. Simulated results carried out on a single machine infinite bus power system model which shows the enhancement of transient stability regardless of the fault and changes in network parameters. 展开更多
关键词 Single Machine Infinite Bus (SMIB) Direct Feedback Linearization (DFL) Fuzzy Logic Controller (FLC) Sliding Mode Control (SMC)
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Design of Composite Two-Channel Disturbance Estimation Adaptive Controller for Backlash-Like Hysteretic Nonlinear Systems 认领 引用
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作者 LIU Qunpo LI Jiakun +2 位作者 FEI Shumin BU Xuhui NAOHIKO Hanajima 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第1期106-116,共11页
For nonlinear systems with backlash-like hysteresis characteristics and external disturbance,a composite two-channel disturbance estimation adaptive controller is proposed to improve the trajectory tracking accuracy o... For nonlinear systems with backlash-like hysteresis characteristics and external disturbance,a composite two-channel disturbance estimation adaptive controller is proposed to improve the trajectory tracking accuracy of the system.The unmodeled hysteresis and external disturbances are treated as lumped uncertainties,which are approximated by radial basis neural network and disturbance estimator respectively.These approximations are then linearly fused to form the compensation term for the lumped uncertainty.The second order linear filter is employed to estimate multiple differential terms,which are integrated into the controller design and dynamic system state updates,thereby reducing computational complexity.A weighted fusion mechanism is implemented for the two channels,and the adaptive update rate for each channel is determined based on the deviation between the lumped uncertainty reference value and the output of each channel.To address the challenges posed by the discontinuity of deviation and maintain system stability,the first-order low-pass filter is applied to smooth the deviation,enhancing system robustness.A trajectory tracking simulation of a single-input single-output nonlinear system is conducted to compare the performance of the proposed controller with baseline controllers,demonstrating the effectiveness of the composite two-channel disturbance estimation adaptive controller. 展开更多
关键词 composite adaptive control disturbance estimator external disturbance hysteretic nonlinearity neural network
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Fault-tolerant Control and Fault Diagnosis of Symmetrical Six-phase Permanent Magnet Synchronous Motor Drives without Controller Reconfiguration 认领 引用
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作者 Aihua Liu Feng Yu +1 位作者 Qingan Zhu Xiaoxin Wu 《CES Transactions on Electrical Machines and Systems》 EI CSCD 2026年第1期87-96,共10页
Owing to the multi-degree-of-freedom characteristics and inherent fault-tolerant capacity,six-phase motors have been widely adopted in high-power applications,such as electric vehicle propulsion and aerospace systems.... Owing to the multi-degree-of-freedom characteristics and inherent fault-tolerant capacity,six-phase motors have been widely adopted in high-power applications,such as electric vehicle propulsion and aerospace systems.This paper presents the fault-tolerant control strategy of symmetrical six-phase permanent magnet synchronous motor(SSPMSM)under an isolated neutral point topology and proposes a fault diagnosis scheme based on joint diagnosis of multiple variables.First,two mathematical models of SSPMSM and their relationship are established.Subsequently,the current vectors in the torque subspace and harmonic subspace of the two winding sets under fault conditions are analyzed,and the cause of post-fault torque ripple is explained as resulting from controller conflict.In addition,a multivariate fault diagnosis scheme based on voltage threshold in the x-y subspace and current trajectory characteristics in theα-βsubspace is proposed to enhance the diagnostic accuracy.Finally,the feasibility and stability of the proposed control and diagnosis methods are verified by experiments. 展开更多
关键词 Fault-tolerant control Symmetrical six-phase permanent magnet synchronous motor(SSPMSM) Isolated neutral point Controller conflict Multivariate fault diagnosis
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Actor–Critic Trajectory Controller with Optimal Design for Nonlinear Robotic Systems 认领 引用
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作者 Nien-Tsu Hu Hsiang-Tung Kao +1 位作者 Chin-Sheng Chen Shih-Hao Chang 《Computers, Materials & Continua》 SCIE EI 2026年第4期1996-2021,共26页
Trajectory tracking for nonlinear robotic systems remains a fundamental yet challenging problem in control engineering,particularly when both precision and efficiency must be ensured.Conventional control methods are o... Trajectory tracking for nonlinear robotic systems remains a fundamental yet challenging problem in control engineering,particularly when both precision and efficiency must be ensured.Conventional control methods are often effective for stabilization but may not directly optimize long-term performance.To address this limitation,this study develops an integrated framework that combines optimal control principles with reinforcement learning for a single-link robotic manipulator.The proposed scheme adopts an actor–critic structure,where the critic network approximates the value function associated with the Hamilton–Jacobi–Bellman equation,and the actor network generates near-optimal control signals in real time.This dual adaptation enables the controller to refine its policy online without explicit system knowledge.Stability of the closed-loop system is analyzed through Lyapunov theory,ensuring boundedness of the tracking error.Numerical simulations on the single-link manipulator demonstrate that themethod achieves accurate trajectory followingwhile maintaining lowcontrol effort.The results further showthat the actor–critic learning mechanism accelerates convergence of the control policy compared with conventional optimization-based strategies.This work highlights the potential of reinforcement learning integrated with optimal control for robotic manipulators and provides a foundation for future extensions to more complex multi-degree-of-freedom systems.The proposed controller is further validated in a physics-based virtual Gazebo environment,demonstrating stable adaptation and real-time feasibility. 展开更多
关键词 Reinforcement learning optimal control actor–critic algorithm trajectory tracking nonlinear systems robotic manipulator
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Stability and weighted sensitivity analysis of robust controller for heat exchanger 认领 引用 被引量：2
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作者 Sapna GUPTA Rajeev GUPTA Subhransu PADHEE 《Control Theory and Technology》 EI CSCD 2020年第1期56-71,共16页
This study presents a parametric system identification approach to estimate the dynamics of a chemical plant from experimental data and develops a robust PID controller for the plant.Parametric system identification o... This study presents a parametric system identification approach to estimate the dynamics of a chemical plant from experimental data and develops a robust PID controller for the plant.Parametric system identification of the heat exchanger system has been carried out using experimental data and prediction error method.The estimated model of the heat exchanger system is a time-delay model and a robust PID controller for the time-delayed model has been designed considering weighted sensitivity criteria.The mathematical background of parametric system identification,stability analysis,and H∞ weighted sensitivity analysis have been provided in this paper.A graphical plot has been provided to determine the stability region in the(Kp,Ki),(Kp,Kd)and(KuKd)plane.The stability region is a locus dependent on parameters of the controller and frequency,in the parameter plane. 展开更多
关键词 Heat exchanger parametric system identification prediction error method PID controller robust stability analysis weighted sensitivity analysis
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