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.
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.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2007年第5期819-824,共6页
Control Theory & Applications
基金
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)
关键词
预测控制
T-S模糊模型
非线性
状态反馈
model predictive control
T-S fuzzy model
nonlinear
state feedback
