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基于T-S模糊模型的状态反馈预测控制
引用本文:王书斌,胡品慧,林立. 基于T-S模糊模型的状态反馈预测控制[J]. 控制理论与应用, 2007, 24(5): 819-824
作者姓名:王书斌  胡品慧  林立
作者单位:中国石油大学,自动化研究所,北京,102249;中国石油大学,机电工程学院,北京,102249
基金项目:国家自然科学基金资助项目(60574009),中石油集团公司石油科技中青年创新基金资助项目(04E7027)
摘    要:将T-S模糊模型和状态反馈预测控制相结合,提出了一种基于T-S模糊模型的预测控制算法.该算法把T-S模糊模型作为预测模型得到状态和输出的预估值,并利用可测的过程变量对输出预估值进行反馈修正,然后利用最优控制理论,由修正后的预估值和给定值计算出控制整个系统的控制律.本文还对串级CSTR控制系统的不同的初态、设定值及干扰情况下进行了仿真,仿真结果表明了该方法的有效性和可行性.

关 键 词:预测控制  T-S模糊模型  非线性  状态反馈
文章编号:1000-8152(2007)05-0819-06
收稿时间:2005-04-20
修稿时间:2005-04-20

State feedback predictive control based on T-S fuzzy model
WANG Shu-bin,HU Pin-hui,LIN Li. State feedback predictive control based on T-S fuzzy model[J]. Control Theory & Applications, 2007, 24(5): 819-824
Authors:WANG Shu-bin  HU Pin-hui  LIN Li
Affiliation:Research Institute of Automation, China University of Petroleum, Beijing 102249, China; College of Mechanical and Electrical Engineering, China University of Petroleum, Beijing 102249, China
Abstract:A new predictive control approach based on T-S fuzzy model is developed by combining T-S fuzzy model with state feedback predictive control.The approach utilizes T-S fuzzy model to get the estimated values of state and output,and corrects the estimated output value by using the measurable process variable.Then in terms of optimal control theory,the control law,which is used to control the whole system,is calculated by the corrected estimated value and set-point. The control system of a continuous stirred tank reactor is also simulated with different initial states,setpoint values and disturbances.The simulation results show that the proposed approach is effective and feasible.
Keywords:model predictive control  T-S fuzzy model  nonlinear  state feedback
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