【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.更多还原

【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.更多还原