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Model Predictive Current Control with Adaptive-adjusting Timescales for PMSMs 认领 引用 被引量：20
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作者 Feng Niu Xi Chen +4 位作者 Shaopo Huang Xiaoyan Huang Lijian Wu Kui Li Youtong Fang 《CES Transactions on Electrical Machines and Systems》 CSCD 2021年第2期108-117,共10页
A model predictive current control(MPCC)with adaptive-adjusting method of timescales for permanent magnet synchronous motors(PMSMs)is proposed in this paper to improve the dynamic response and prediction accuracy in t... A model predictive current control(MPCC)with adaptive-adjusting method of timescales for permanent magnet synchronous motors(PMSMs)is proposed in this paper to improve the dynamic response and prediction accuracy in transient-state,while lessening the computational burden and improving the control performance in steady-state.The timescale characteristics of different parts of MPCC,such as signal sampling,prediction calculation,control output,model error correction,are analyzed,and the algorithm architecture of MPCC with multi-timescale is proposed.The difference between reference and actual speed,and the change rate of actual speed are utilized to discriminate the transient state of speed change and load change,respectively.Adaptive-adjusting method of control period and prediction stepsize are illustrated in detail after operation condition discrimination.Experimental results of a PMSM are presented to validate the effectiveness of proposed MPCC.In addition,comparative evaluation of single-step MPCC with fixed timescale and proposed MPCC is conducted,which demonstrates the superiority of proposed control strategy. 展开更多
关键词 Model predictive current control(MPCC) permanent magnet synchronous motor(PMSM) multi-timescale adaptive-adjusting method
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GFTSM-based Model Predictive Torque Control for PMSM Drive System With Single Phase Current Sensor 认领 引用 被引量：4
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作者 Qingfang Teng Yuxing Jin +2 位作者 Shuyuan Li Jianguo Zhu Youguang Guo 《自动化学报》 EI CAS CSCD 北大核心 2017年第9期1644-1655,共12页
A global fast terminal sliding mode(GFTSM)-based model predictive torque control(MPTC)strategy is developed for permanent magnet synchronous motor(PMSM)drive system with only one phase current sensor.Generally two pha... A global fast terminal sliding mode(GFTSM)-based model predictive torque control(MPTC)strategy is developed for permanent magnet synchronous motor(PMSM)drive system with only one phase current sensor.Generally two phase-current sensors are indispensable for MPTC.In response to only one phase current sensor available and the change of stator resistance,a novel adaptive observer for estimating the remaining two phase currents and time-varying stator resistance is proposed to perform MPTC.Moreover,in view of the variation of system parameters and external disturbance,a new GFTSM-based speed regulator is synthesized to enhance the drive system robustness.In this paper,the GFTSM,based on sliding mode theory,employs the fast terminal sliding mode in both the reaching stage and the sliding stage.The resultant GFTSM-based MPTC PMSM drive system with single phase current sensor has excellent dynamical performance which is very close to the GFTSM-based MPTC PMSM drive system with two-phase current sensors.On the other hand,compared with proportional-integral(PI)-based and sliding mode(SM)-based MPTC PMSM drive systems,it possesses better dynamical response and stronger robustness as well as smaller total harmonic distortion(THD)index of three-phase stator currents in the presence of variation of load torque.The simulation results validate the feasibility and effectiveness of the proposed scheme. 展开更多
关键词 Adaptive observer current sensorless global fast terminal sliding mode(GFTSM) model predictive torque control(MPTC) permanent magnet synchronous motor(PMSM)
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Simplified Model Predictive Current Control for Dual Three-phase PMSM with Low Computation Burden and Switching Frequency 认领 引用 被引量：1
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作者 Huawei Zhou Xiaolong Xiang +1 位作者 Yibo Li Tao Tao 《CES Transactions on Electrical Machines and Systems》 EI CSCD 2024年第4期447-454,共8页
Finite-control-set model predictive control(FCSMPC)has advantages of multi-objective optimization and easy implementation.To reduce the computational burden and switching frequency,this article proposed a simplified M... Finite-control-set model predictive control(FCSMPC)has advantages of multi-objective optimization and easy implementation.To reduce the computational burden and switching frequency,this article proposed a simplified MPC for dual three-phase permanent magnet synchronous motor(DTPPMSM).The novelty of this method is the decomposition of prediction function and the switching optimization algorithm.Based on the decomposition of prediction function,the current increment vector is obtained,which is employed to select the optimal voltage vector and calculate the duty cycle.Then,the computation burden can be reduced and the current tracking performance can be maintained.Additionally,the switching optimization algorithm was proposed to optimize the voltage vector action sequence,which results in lower switching frequency.Hence,this control strategy can not only reduce the computation burden and switching frequency,but also maintain the steady-state and dynamic performance.The simulation and experimental results are presented to verify the feasibility of the proposed strategy. 展开更多
关键词 Computation time Current increment vector Dual three-phase permanent magnet synchronous motor(DTPPMSM) Model predictive current control(MPCC) Switching frequency
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Model predictive current control for PMSM driven by three-level inverter based on fractional sliding mode speed observer 认领 引用 被引量：5
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作者 TENG Qing-fang LUO Wei-duo 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2020年第4期358-364,共7页
Based on the fractional order theory and sliding mode control theory,a model prediction current control(MPCC)strategy based on fractional observer is proposed for the permanent magnet synchronous motor(PMSM)driven by ... Based on the fractional order theory and sliding mode control theory,a model prediction current control(MPCC)strategy based on fractional observer is proposed for the permanent magnet synchronous motor(PMSM)driven by three-level inverter.Compared with the traditional sliding mode speed observer,the observer is very simple and eases to implement.Moreover,the observer reduces the ripple of the motor speed in high frequency range in an efficient way.To reduce the stator current ripple and improve the control performance of the torque and speed,the MPCC strategy is put forward,which can make PMSM MPCC system have better control performance,stronger robustness and good dynamic performance.The simulation results validate the feasibility and effectiveness of the proposed scheme. 展开更多
关键词 permanent magnet synchronous motor(PMSM) three-level inverter fractional sliding mode speed observer model predictive current control(MPCC)
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Model Predictive Control Coupled with Artificial Intelligence for Eddy Current Dynamometers 认领 引用
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作者 İhsan Uluocak Hakan Yavuz 《Computer Systems Science & Engineering》 SCIE EI 2023年第1期221-234,共14页
The recent studies on Artificial Intelligence(AI)accompanied by enhanced computing capabilities supports increasing attention into traditional control methods coupled with AI learning methods in an attempt to bringing... The recent studies on Artificial Intelligence(AI)accompanied by enhanced computing capabilities supports increasing attention into traditional control methods coupled with AI learning methods in an attempt to bringing adap-tiveness and fast responding features.The Model Predictive Control(MPC)tech-nique is a widely used,safe and reliable control method based on constraints.On the other hand,the Eddy Current dynamometers are highly nonlinear braking sys-tems whose performance parameters are related to many processes related vari-ables.This study is based on an adaptive model predictive control that utilizes selected AI methods.The presented approach presents an updated the mathema-tical model of an Eddy Current Dynamometer based on experimentally obtained system operational data.Finally,the comparison of AI methods and related learn-ing performances based on the assessment technique of mean absolute percentage error(MAPE)issues are discussed.The results indicate that Single Hidden Layer Neural Network(SHLNN),General Regression Neural Network(GRNN),Radial Basis Network(RBNN),Neuro Fuzzy Network(ANFIS)coupled MPC have quite satisfying performances.The presented results indicate that,amongst them,GRNN appears to provide the best performance. 展开更多
关键词 Model predictive control eddy current dynamometer artificial intelligence GRNN RBNN ANFIS
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Finite Control Set Model Predictive Current Control of a Five-Phase PMSM with Virtual Voltage Vectors and Adaptive Control Set 认领 引用 被引量：11
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作者 Wusen Wang Ying Fan +1 位作者 Siyu Chen Qiushi Zhang 《CES Transactions on Electrical Machines and Systems》 CSCD 2018年第1期136-141,共6页
This paper presents an improved finite control set model predictive current control(FCS-MPCC)of a five-phase permanent magnet synchronous motor(PMSM).First,to avoid including all the 32 voltage vectors provided by a t... This paper presents an improved finite control set model predictive current control(FCS-MPCC)of a five-phase permanent magnet synchronous motor(PMSM).First,to avoid including all the 32 voltage vectors provided by a two-level five-phase inverter into the control set,virtual voltage vectors are adopted.As the third current harmonics can be much reduced by virtual voltage vectors automatically,the harmonic items in the cost function of conventional FCS-MPCC are not considered.Furthermore,an adaptive control set is proposed based on voltage prediction.Best control set with proper voltage vector amplitude corresponding to different rotor speed can be achieved by this method.Consequently,current ripples can be largely reduced and the system performs much better.At last,simulations are established to verify the steady and transient performance of the proposed FCS-MPCC,and experiments based on a 2 kW five-phase motor are carried out.The results have validated the performance improvement of the proposed control strategy. 展开更多
关键词 Adaptive control set current ripple finite control set model predictive current control(FCS-MPCC) permanent magnet synchronous motor(PMSM) virtual voltage vectors
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Zero-Sequence Current Suppression Strategy for Open-End Winding Permanent Magnet Synchronous Motor Based on Model Predictive Control 认领 引用
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作者 LIU Huashan LI Jie YAO Fei 《Journal of Donghua University(English Edition)》 CAS 2020年第4期286-292,共7页
Compared with the traditional three-phase star connection winding,the open-end winding permanent magnet synchronous motor(OW-PMSM)system with a common direct current(DC)bus has a zero-sequence circuit,which makes the ... Compared with the traditional three-phase star connection winding,the open-end winding permanent magnet synchronous motor(OW-PMSM)system with a common direct current(DC)bus has a zero-sequence circuit,which makes the common-mode voltage and the back electromotive force(EMF)harmonic generated by the inverters produce the zero-sequence current in the zero-sequence circuit,and the zero-sequence current has great influence on the operation efficiency and stability of the motor control system.A zero-sequence current suppression strategy is presented based on model predictive current control for OW-PMSM.Through the mathematical model of OW-PMSM to establish the predictive model and the zero-sequence circuit model,the common-mode voltage under different voltage vector combinations is fully considered during vector selection and action time calculation.Then zero-sequence loop constraints are established,so as to suppress the zero-sequence current.In the end,the control strategy proposed in this paper is verified by simulation experiments. 展开更多
关键词 open-end winding permanent magnet synchronous motor(OW-PMSM) zero-sequence current harmonic model predictive current control common-mode voltage
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Load Torque Compensator for Model Predictive Direct Current Control in High Power PMSM Drive Systems 认领 引用 被引量：1
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作者 M. Preindl E. Schaltz 《Journal of Energy and Power Engineering》 CAS 2011年第6期554-561,共8页
The widely used cascade speed and torque controllers have a limited control performance in most high power applications due to the low switching frequency of power electronic converters and the convenience to avoid sp... The widely used cascade speed and torque controllers have a limited control performance in most high power applications due to the low switching frequency of power electronic converters and the convenience to avoid speed overshoots and oscillations for lifetime considerations. Model Predictive Direct Current Control （MPDCC） leads to an increase of torque control performance taking into account the discrete nature of inverters but temporary offsets and poor responses to load torque variations are still issues in speed control. A load torque estimator is proposed in this paper in order to further improve dynamic behavior. It compensates the load torque influence on the speed control setting a feed forward torque reference value. The benefits are twice; the speed controller reaches the speed reference value without offsets which would need to be compensated by an integrator and a better response to load torque variations is obtained since they are detected and compensated leading to small speed variations. Moreover, the influence of pararneter errors and disturbances has been analyzed and limited so that they play a minor role in operation. 展开更多
关键词 Drive systems model predictive control （MPC） current control switching frequency optimization.
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Distributed Model Predictive Load Frequency Control of Multi-area Power System with DFIGs 认领 引用 被引量：20
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作者 Yi Zhang Xiangjie Liu Bin Qu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2017年第1期125-135,共11页
Reliable load frequency control LFC is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-Area interconnected power system with wind turbines, this paper presen... Reliable load frequency control LFC is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-Area interconnected power system with wind turbines, this paper presents a distributed model predictive control DMPC based on coordination scheme. The proposed algorithm solves a series of local optimization problems to minimize a performance objective for each control area. The generation rate constraints GRCs, load disturbance changes, and the wind speed constraints are considered. Furthermore, the DMPC algorithm may reduce the impact of the randomness and intermittence of wind turbine effectively. A performance comparison between the proposed controller with and without the participation of the wind turbines is carried out. Analysis and simulation results show possible improvements on closed-loop performance, and computational burden with the physical constraints. © 2014 Chinese Association of Automation. 展开更多
关键词 Asynchronous generators Electric control equipment Electric fault currents Electric frequency control Electric load management Electric power systems Model predictive control Optimization Press load control Wind Wind turbines
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Model Predictive Current Control of Permanent Magnet Synchronous Linear Motor Based on Expanded Control Set 认领 引用
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作者 Qiaoling Yang Huijun Shi +1 位作者 Shunwu Liu Yong Chang 《Chinese Journal of Electrical Engineering》 EI CSCD 2026年第1期333-343,共11页
Finite control set model predictive current control(FCS-MPCC)often induces notable thrust fluctuations and elevated current harmonics in permanent magnet synchronous linear motor(PMSLM)drives.These issues primarily ar... Finite control set model predictive current control(FCS-MPCC)often induces notable thrust fluctuations and elevated current harmonics in permanent magnet synchronous linear motor(PMSLM)drives.These issues primarily arise due to the limited number of available voltage vectors,which compromise steady-state accuracy.To address this problem,a model predictive current control strategy utilizing an expanded control set is proposed.In this approach,virtual voltage vectors are synthesized from the fundamental voltage vectors,expanding the control set to include 38 candidate vectors.Using current prediction equations and a value function,the optimal candidate region is identified by preselecting a central voltage vector,which significantly reduces the number of required optimization searches.The voltage vectors within this region are evaluated at two distinct prediction times.After analyzing the results from both moments,the voltage vector that yields the smallest current prediction error is selected as the optimal control input.A simulation analysis is conducted to validate the effectiveness of the proposed method.The results demonstrate that,compared to conventional FCS-MPCC,the expanded control set approach significantly reduces current harmonics and thrust fluctuations,while also mitigating the increase in switching frequency typically associated with a larger control set. 展开更多
关键词 Permanent magnet synchronous linear motor model predictive current control virtual voltage vector expanded control set
Predictive current control system of PMSM based on LADRC 认领 引用 被引量：5
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作者 Wang Xiaopeng Zhao Jun +1 位作者 Wang Bohui Li Baomin 《Journal of Southeast University(English Edition)》 EI CAS 2022年第3期227-234,共8页
For a permanent magnet synchronous motor(PMSM)model predictive current control(MPCC)system,when the speed loop adopts proportional-integral(PI)control,speed regulation is easily affected by motor parameters,resulting ... For a permanent magnet synchronous motor(PMSM)model predictive current control(MPCC)system,when the speed loop adopts proportional-integral(PI)control,speed regulation is easily affected by motor parameters,resulting in the inability to balance the system robustness and dynamic performance.A PMSM optimal control strategy combining linear active disturbance rejection control(LADRC)and two-vector MPCC(TV-MPCC)is proposed.Firstly,a mathematical model of a PMSM is presented,and the PMSM TV-MPCC model is developed in the synchronous rotation coordinate system.Secondly,a first-order LADRC controller composed of a linear extended state observer and linear state error feedback is designed to reduce the complexity of parameter tuning while linearly simplifying the traditional active disturbance rejection control(ADRC)structure.Finally,the conventional PI speed regulator in the motor speed control system is replaced by the designed LADRC controller.The simulation results show that the speed control system using LADRC can effectively deal with the changes in motor parameters and has better robustness and dynamic performance than PI control and similar methods.The system has a fast motor speed response,small overshoot,strong anti-interference,and no steady-state error,and the total harmonic distortion is reduced. 展开更多
关键词 permanent magnet synchronous motor(PMSM) two-vector model predictive current control linear active disturbance rejection control speed control system
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Simulation on model predictive control for PMSM drive system based on double extended state observer 认领 引用 被引量：4
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作者 CUI Hong-wei TENG Qing-fang +1 位作者 ZHU Jian-guo GUO You-guang 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第4期380-387,共8页
A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to... A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to achieve high-precision control,two-phase current sensors are necessary for successful implementation of MPTC.For this purpose,two ESOs are used to estimate q-axis current and stator resistance respectively,and then based on this,d-axis current is estimated.Moreover,to reduce torque and flux ripple and to improve the performance of the torque and speed,MPTC strategy is designed.The simulation results validate the feasibility and effectiveness of the proposed scheme. 展开更多
关键词 double extended state observer(DESO) model predictive torque control(MPTC) permanent magnet synchronous motor(PMSM)drive system without current sensor
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Comprehensive Review of Finite-control-set Model Predictive Control Methods for Permanent-magnet Synchronous Motors 认领 引用
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作者 Bo Wang Shi Jin +1 位作者 Peng Sun Guangwei Liu 《Chinese Journal of Electrical Engineering》 EI CSCD 2026年第1期240-259,共20页
Permanent-magnet synchronous motors(PMSMs)have become the preferred choice in the industrial sector owing to their high power density,excellent efficiency,and wide speed control range.Over the past decade,advancements... Permanent-magnet synchronous motors(PMSMs)have become the preferred choice in the industrial sector owing to their high power density,excellent efficiency,and wide speed control range.Over the past decade,advancements in high-performance drives and power electronics have propelled the development of model predictive control(MPC)technology.Among the various approaches,finite-control-set MPC(FCS-MPC)has attracted significant interest for the control of permanent-magnet motors owing to its simple structure and fast response.Three key challenges in FCS-MPC are explored by leveraging recent research advancements:selecting appropriate weighting factors in the cost function,optimizing vector selection,minimizing computation time in multi-vector control,and improving system robustness under parameter mismatches.Additionally,the evolution and application of FCS-MPC in PMSMs are discussed. 展开更多
关键词 Permanent-magnet synchronous motor finite-control-set model predictive control weighting factor multi-vector control parameter mismatch
Disturbance-rejection Model Predictive Current Control for Dual-three-phase Permanent Magnet Synchronous Generators with Harmonic Subspace Consideration 认领 引用
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作者 Zhengqi Wang Jun Huo +2 位作者 Wenxiang Zhao Qiang Zhang Hao Chang 《Chinese Journal of Electrical Engineering》 EI CSCD 2025年第4期227-242,共16页
To address harmonic current proliferation and parameter sensitivity in conventional vector model predictive control(V-MPC)for dual-three-phase permanent magnet synchronous generators(DTP-PMSGs),a harmonic subspace-inc... To address harmonic current proliferation and parameter sensitivity in conventional vector model predictive control(V-MPC)for dual-three-phase permanent magnet synchronous generators(DTP-PMSGs),a harmonic subspace-incorporated disturbance-rejection MPC strategy is proposed.First,an enhanced virtual voltage vector synthesis technique is developed in which three optimal voltage vectors per control sector are strategically combined to achieve full-amplitude and omnidirectional voltage coverage,eliminating harmonic subspace excitation.Second,a super-twisting integral disturbance observer is designed to dynamically estimate and compensate for parameter mismatches and nonlinear rectification disturbances,thereby enhancing the robustness against model inaccuracies.Third,a composite harmonic suppression controller is proposed to replace traditional PI regulators,enabling zero-steady-state error tracking of fundamental currents while actively attenuating harmonic subspace components.Experimental validations confirm that the proposed methodology improves the fundamental current-tracking accuracy,significantly suppresses harmonic currents,and maintains a robust dynamic response under parameter variations. 展开更多
关键词 Dual-three-phase permanent magnet synchronous generator harmonic current suppression model predictive current control super-twisting integral sliding mode observer composite controller
Neural network prediction of the shunt current in resistance spot welding 认领 引用
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作者 张勇 谢红霞 +3 位作者 滕辉 白华 鄢君辉 汪帅兵 《China Welding》 EI CAS 2013年第3期73-78,共6页
An error back propagation （BP） neural network prediction model was established for the shunt current compensation in series resistance spot welding. The input variables for the neural network consist of the resistiv... An error back propagation （BP） neural network prediction model was established for the shunt current compensation in series resistance spot welding. The input variables for the neural network consist of the resistivity of the material, the thickness of workpiece and the spot spacing, and the shunt rate is outputted. A simplified calculation for the shunt rate was presented based on the feature of the constant-current resistance spot welding and the variation of the resistance in resistance spot welding process, and then the data generated by simplified calculation were used to train and adjust the neural network model. The neural network model proposed was used to predict the shunt rate in the spot welding of 20# mlid steel （in Chinese classification） （in 2. 0 mm thickness） and 10# mild steel （in 1.5 mm and 1.0 mm thickness）. The maximum relative prediction errors are, respectively, 2. 83%, 1.77% and 3.67%. Shunt current compensation experiments were peoCormed based on the neural network prediction model proposed to check the diameter difference of nuggets. Experimental results show that maximum nugget diameter deviation is less than 4% for both 10# and 20# mlid steels with spot spacing of 30 mm and 50 mm. 展开更多
关键词 resistance spot welding constant current control shunt current neural network prediction model nugget
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Improved Optimal Duty Model Predictive Current Control Strategy for PMSM 认领 引用 被引量：5
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作者 Dingdou Wen Jie Yuan +1 位作者 Yang Zhang Chuandong Shi 《Chinese Journal of Electrical Engineering》 CSCD 2022年第3期133-141,共9页
To further improve the steady-state performance of the conventional dual vector model predictive current control(MPCC),an improved optimal duty MPCC strategy for permanent magnet synchronous motor(PMSM)is proposed.Thi... To further improve the steady-state performance of the conventional dual vector model predictive current control(MPCC),an improved optimal duty MPCC strategy for permanent magnet synchronous motor(PMSM)is proposed.This strategy is realized by selecting an optimal voltage vector combination and its duration from the five basic voltage vector combinations,followed by acting on the inverter.The five combinations are:the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of 60°;the combination of the optimal voltage vector at the previous moment and basic voltage vector with an angle difference of-60°;the combination of the aforementioned three basic voltage vectors with the zero vector.Experimental results indicate that the method effectively reduces the stator current ripple without increasing the calculational burden.Furthermore,it improves the steady-state performance of the system without altering the dynamic performance of the system. 展开更多
关键词 Model predictive current control improved optimal duty optimal voltage vector combination steady-state performance PMSM
基于单电流传感器的开关磁阻电机模型预测电流控制 认领 引用 被引量：1
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作者 蒯松岩 魏伟 +2 位作者 吴文杨 李豫鲁 胡堃 《电工技术学报》 EI CSCD 北大核心 2026年第8期2578-2589,共12页
为了降低多个电流传感器导致的驱动系统成本和体积升高,同时提高电流控制性能,该文提出一种基于单电流传感器的开关磁阻电机模型预测控制方法。该方法在电机单相导通区域,借助单个母线电流传感器直接获取导通相电流;而在两相导通区域,... 为了降低多个电流传感器导致的驱动系统成本和体积升高,同时提高电流控制性能,该文提出一种基于单电流传感器的开关磁阻电机模型预测控制方法。该方法在电机单相导通区域,借助单个母线电流传感器直接获取导通相电流;而在两相导通区域,使用双矢量合成的方法,在单个控制周期中构造出多个开关状态组合。再通过母线电流传感器多次采样分离重构出各相相电流,同时双矢量合成方式也有效降低了电流脉动。最后通过实验验证单电流传感器相电流重构及电流跟踪效果。实验结果表明,所提方法具有较好的控制效果,且在稳态、负载转矩以及转速突变的情况下,所提单电流传感器相电流重构方法能够很好地分离重构出各相相电流。 展开更多
关键词 开关磁阻电机 模型预测电流控制 双矢量模型预测控制 单电流传感器
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基于参数辨识的永磁辅助同步磁阻电机双矢量模型预测电流控制 认领 引用 被引量：4
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作者 许爱德 刘睿杰 余煜邦 《电机与控制学报》 EI CSCD 北大核心 2026年第1期59-69,共11页
针对永磁辅助同步磁阻电机双矢量模型预测电流控制运行时电感参数易受外界扰动,导致电流波动较大跟踪精度变差的问题,本文提出基于参数辨识的双矢量模型预测电流控制算法。所提算法以电流跟踪公式所得矢量作用时间为基础,综合考虑d、q... 针对永磁辅助同步磁阻电机双矢量模型预测电流控制运行时电感参数易受外界扰动,导致电流波动较大跟踪精度变差的问题,本文提出基于参数辨识的双矢量模型预测电流控制算法。所提算法以电流跟踪公式所得矢量作用时间为基础,综合考虑d、q轴电流跟踪特性,从而得到更准确的电压矢量作用时间。采用模型参考自适应系统对电感参数进行在线辨识,利用辨识结果实时修改模型参数,确保控制器的电感参数与实际参数相匹配,进而提升双矢量模型预测电流控制系统的稳定性。最后在仿真平台与实验平台对所提算法可行性进行验证,结果表明,当电机参数失配时,所提算法可以有效改善电流跟踪静差与电流波动问题,提高了系统鲁棒性。 展开更多
关键词 参数辨识 模型参考自适应 参数敏感性 永磁辅助同步磁阻电机 双矢量模型预测电流控制
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基于陷波抗停滞的永磁同步电机无模型预测电流滑模控制 认领 引用 被引量：1
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作者 魏尧 付俊荣 +1 位作者 王高林 汪凤翔 《电工技术学报》 EI CSCD 北大核心 2026年第2期475-486,共12页
无模型预测滑模控制(SMC)通过建立数据模型,实现对物理模型及参数的完全独立。但建模和更新过程对采样数据质量提出严格的要求,停滞及其负面影响成为制约技术发展的关键瓶颈。针对该问题,该文提出基于陷波抗停滞的永磁同步电机(PMSM)无... 无模型预测滑模控制(SMC)通过建立数据模型,实现对物理模型及参数的完全独立。但建模和更新过程对采样数据质量提出严格的要求,停滞及其负面影响成为制约技术发展的关键瓶颈。针对该问题,该文提出基于陷波抗停滞的永磁同步电机(PMSM)无模型预测电流滑模控制方法。该方法通过设计陷波结构,提取由控制策略产生的特定频段谐波,并反向注入采样数据,生成数据梯度,旨在有效减少停滞发生的可能性并缓解停滞效应造成的不良影响,确保数据模型的高度适配。在理论层面对方法可达性、稳定性及鲁棒性进行深入分析。实验表明,相较于比较控制方法,所提方法在电流质量和预测精度方面具有优势,为PMSM在复杂环境下的高性能控制提供了新的有效途径。 展开更多
关键词 无模型预测滑模控制 陷波抗停滞部分 数据驱动模型 永磁同步电机
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表贴式永磁同步电机增量式模型预测电流控制研究 认领 引用 被引量：2
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作者 李耀华 郭伟超 +2 位作者 马德军 胡梦飞 李富香 《微特电机》 2026年第2期68-75,共8页
对于表贴式永磁同步电机(surface permanent magnet synchronous motor,SPMSM),为提升模型预测电流控制(model predictive current control,MPCC)参数鲁棒性,建立SPMSM增量式MPCC模型。从控制性能、参数敏感性和实时性方面对基于传统模... 对于表贴式永磁同步电机(surface permanent magnet synchronous motor,SPMSM),为提升模型预测电流控制(model predictive current control,MPCC)参数鲁棒性,建立SPMSM增量式MPCC模型。从控制性能、参数敏感性和实时性方面对基于传统模型及基于增量式模型的MPCC进行对比研究,由结果可知基于传统模型与基于增量式模型的MPCC性能基本相当。电感参数变化下,两者均产生较大的预测误差,对增量式电流预测模型影响更大。电阻参数失配对传统模型产生较小影响,对增量式模型基本没有影响。增量式电流预测模型不依赖磁链参数,磁链参数变化对传统模型影响较大。增量式电流预测模型的算法实时性略差于传统模型。基于增量式模型的MPCC性能良好,消除磁链参数,增强电阻参数鲁棒性,但是降低电感参数鲁棒性,实时性能略有下降。 展开更多
关键词 永磁同步电机 增量式模型 模型预测电流控制 参数鲁棒性 实时性能
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