增益和相位补偿的双模Smith预估控制算法

Research on Dual-Model Smith Predictive Control With Gain and Phrase Compensation

针对具有大滞后和大惯性的难控对象,在常规Smith预估控制的基础上加入了P-PID双模控制来提高系统的初期响应速度和减小过大的超调,并提出了带增益和相位补偿的双模Smith预估控制算法.仿真结果表明:当对象模型失配时,该算法能有效改进Smith预估控制的效果,提高系统的自适应能力.

In view of the object with the large time-delay and large inertia, which is difficult to be controlled, the method of P-PID Dual-Model control based on the conventional Smith Predictive Control is applied, which can increase control system＇s early response speed and decrease the excessive overshoot. Furthermore, the method of Dual-model Smith Predictive Control with gain and phrase compensation function is presented. The simulation result shows that the algorithm can efficiently improve the effects of Smith Predictive Control when object model is unmatched, and increase the adaptability of the control system.