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具有模糊校正的GPC在NCS中的应用 认领 引用
1
作者 胡丹 《科学技术与工程》 2009年第11期3124-3126,共3页
针对网络的引进而产生的时延及系统的不确定性问题,在GPC控制算法的基础上通过加入模糊校正的方法更好的解决了网络控制系统中系统模型失配和噪声干扰等对系统控制效果的影响,仿真结果验证了控制器设计方法的有效性。
关键词 网络控制系统 广义预测控制(General Prepared Control,GPC) 模糊校正
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Active generalized predictive control of turbine tip clearance for aero-engines 认领 引用 被引量：7
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作者 Peng Kai Fan Ding +2 位作者 Yang Fan Fu Qiang Li Yong 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2013年第5期1147-1155,共9页
Active control of turbine blade tip clearance continues to be a concern in design and control of gas turbines. Ever increasing demands for improved efficiency and higher operating temperatures require more stringent t... Active control of turbine blade tip clearance continues to be a concern in design and control of gas turbines. Ever increasing demands for improved efficiency and higher operating temperatures require more stringent tolerances on turbine tip clearance. In this paper, a turbine tip clearance control apparatus and a model of turbine tip clearance are proposed; an implicit active generalized predictive control （GPC）, with auto-regressive （AR） error modification and fuzzy adjustment on control horizon, is presented, as well as a quantitative analysis method of robust per- turbation radius of the system. The active clearance control （ACC） of aero-engine turbine tip clear- ance is evaluated in a lapse-rate take-off transient, along with the comparative and quantitative analysis of the stability and robustness of the active tip clearance control system. The results show that the resultant active tip clearance control system with the improved GPC has favorable steadystate and dynamic performance and benefits of increased efficiency, reduced specific fuel consump- tion, and additional service life. 展开更多
关键词 Active clearance control（ACC） Aero-engine Aircraft Generalized prcdictivc control （GPC） Global convergence Robust perturbation radius Turbine tip clearance
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Constrained predictive control based on T-S fuzzy model for nonlinear systems 认领 引用 被引量：7
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作者 Su Baili Chen Zengqiang Yuan Zhuzhi 《Journal of Systems Engineering and Electronics》 SCIE EI 2007年第1期95-100,共6页
A constrained generalized predictive control （GPC） algorithm based on the T-S fuzzy model is presented for the nonlinear system. First, a Takagi-Sugeno （T-S） fuzzy model based on the fuzzy cluster algorithm and th... A constrained generalized predictive control （GPC） algorithm based on the T-S fuzzy model is presented for the nonlinear system. First, a Takagi-Sugeno （T-S） fuzzy model based on the fuzzy cluster algorithm and the orthogonalleast square method is constructed to approach the nonlinear system. Since its consequence is linear, it can divide the nonlinear system into a number of linear or nearly linear subsystems. For this T-S fuzzy model, a GPC algorithm with input constraints is presented. This strategy takes into account all the constraints of the control signal and its increment, and does not require the calculation of the Diophantine equations. So it needs only a small computer memory and the computational speed is high. The simulation results show a good performance for the nonlinear systems. 展开更多
关键词 Generalized predictive control （GPC） Nonlinear system T-S fuzzy model Input constraint Fuzzy cluster
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Application of generalized predictive control in networked control system 认领 引用 被引量：3
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作者 杨灿 朱善安 +1 位作者 孔万增 卢立明 《Journal of Zhejiang University-SCIENCE A》 EI CAS 2006年第2期225-233,共9页
A new framework for networked control system based on Generalized Predictive Control (GPC) is proposed in this paper. Clock-driven sensors, event-driven controller, and clock-driven actuators are required in this fram... A new framework for networked control system based on Generalized Predictive Control (GPC) is proposed in this paper. Clock-driven sensors, event-driven controller, and clock-driven actuators are required in this framework. A queuing strategy is proposed to overcome the network induced delay. Without redesigning, the proposed framework enables the existing GPC controller to be used in a network environment. It also does not require clock synchronization and is only slightly affected by bad network condition such as package loss. Various experiments are designed over the real network to test the proposed approach, which verify that the proposed approach can stabilize the Networked Control System (NCS) and is robust. 展开更多
关键词 Networked Control System （NCS） Generalized Predictive Control （GPC） Queuing strategy
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THE PRINCIPLE OF ROBUSTNESS IN GENERALIZED PREDICTIVE CONTROL 认领 引用 被引量：3
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作者 Sun Mingwei Chen Zengqiang Yuan Zhuzhi Dept. of Com puterand System Science, NankaiUniv., Tianjin 300071. 《Applied Mathematics(A Journal of Chinese Universities)》 1999年第3期293-300,共8页
This paper deeply analyzes the closed-loop nature ofGPCin the fram ework ofinter- nalm odelcontrol(IMC) theory. A new sort ofrelation lies in the feedback structure so that robustreason can be satisfactorily explained... This paper deeply analyzes the closed-loop nature ofGPCin the fram ework ofinter- nalm odelcontrol(IMC) theory. A new sort ofrelation lies in the feedback structure so that robustreason can be satisfactorily explained. The resultissignificantbecause the previous con- clusions are only applied to open-loop stable plant(orm odel). 展开更多
关键词 Generalized predictive control(GPC) robustness internalm odelcontrol(IMC).
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Weighted Adaptive Generalized Predictive Control for Carding Autoleveler 认领 引用
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作者 蔡旺 李加文 +1 位作者 张贵宝 李从心 《Journal of Shanghai Jiaotong university(Science)》 EI 2006年第4期436-439,共4页
In textile industry, carding process has decisive influence on produced yarn quality. From the system theoretic point of view, it is marked by stochastic disturbance, long delays, and parameter variation. So, a cardin... In textile industry, carding process has decisive influence on produced yarn quality. From the system theoretic point of view, it is marked by stochastic disturbance, long delays, and parameter variation. So, a carding process is difficult to control with traditional control algorithms (such as PID). In this paper, a weighted adaptive generalized predictive control (GPC) law was developed to control such a process. The experimental results show that GPC autoleveller controller could greatly reduce the sliver’s standard deviation and reject disturbance. 展开更多
关键词 carding machine generalized predictive control(GPC) autoleveler
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Predictive Sliding Mode Control to a Thermal Process for Batch Dyeing 认领 引用
7
作者 张建新 俞利国 《Journal of Donghua University(English Edition)》 EI CAS 2012年第2期182-186,共5页
The batch dyeing process is a typical nonlinear process with time-delay,where precise controlling of temperature plays a vital role on the dyeing quality.Because the accuracy and robustness of the commonly used propor... The batch dyeing process is a typical nonlinear process with time-delay,where precise controlling of temperature plays a vital role on the dyeing quality.Because the accuracy and robustness of the commonly used proportion integration differentiation(PID) algorithm had been limited,a novel method was developed to precisely control the heating and cooling stages for batch dyeing process based on predictive sliding mode control(SMC) algorithm.Firstly,a special predictive sliding mode model was constructed according to the principle of generalized predictive control(GPC);secondly,an appropriate reference trajectory for SMC was designed based on the improved approaching law;finally,the predictive sliding mode model and the Diophantine equation were used to predict the output and then the optimized control law was derived using the generalized predictive law.This method combined GPC and the SMC with their respective advantages,so it could be applied to time-delay process,making the control system more robust.Simulation experiments show that this algorithm can well track the temperature variation for the batch dyeing process. 展开更多
关键词 temperature control generalized predictive control(GPC) sliding mode control(SMC) batch dyeing process
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Performance analysis of CDMA power control system based on fuzzy prediction 认领 引用
8
作者 杨涛 谢剑英 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2004年第6期679-684,共6页
Power control is of paramount importance in combating the near-far problem and co-channel interference in a CDMA cellular system. Due to fast fading and ambient interference in a wireless channel, conventional fixed-s... Power control is of paramount importance in combating the near-far problem and co-channel interference in a CDMA cellular system. Due to fast fading and ambient interference in a wireless channel, conventional fixed-step power control schemes have difficulty in compensating for the fast fading channel dynamically and in a timely manner. To acquire flexible power regulation in order to maintain required transmission capacity under the given transmission quality requirement, we propose a hybrid power control scheme which makes full use of the simple fuzzy inference rule refined by an operator in the fuzzy control and prediction property from related previous results in Generalized Prediction Control (GPC). In implementation of this strategy, we classify the fading zone into three levels according to the signal-to-noise-rate (SNR) requirement. In each level the power compensation amount varies with fading gradient and the compensation scheme varies as well. The digital results show that adoption of the fuzzy-GPC power regulation scheme has acquired a reasonable performance improvement when compared with fixed-step and fuzzy schemes. According to theoretic analysis and simulation results, we can conclude that under a variational transmission environment, a flexible power regulation scheme such as fuzzy-GPC is easy to adapt to the environment and thus overcomes the near-far effect and multi-access interference effectively. 展开更多
关键词 Fuzzy logic Generalized prediction control (GPC) Signal-to-interference ration (SIR) Power control
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