基于跟踪误差调节的模糊直接广义预测控制

Fuzzy direct generalized predictive control based on tracking error adjustment

针对广义预测控制(GPC)计算量大的缺陷,提出一种模糊直接广义预测控制(FDGPC)方法。该方法首先利用中值定理将一类非线性系统等价表示为时变线性系统,然后通过模糊逻辑系统直接设计预测控制器,并利用跟踪误差对控制器参数uθ进行自适应调整。理论证明了该方法可使跟踪误差收敛到原点的一个小邻域内。仿真结果验证了此方法的有效性。

This paper presented a kind of fuzzy direct generalized predictive control（FDGPC） to overcome the shortcoming of large computation load of original GPC. In the method, replaced a class of nonlinear system by a time varying linear system based on the mean value theorem. Then used a fuzzy logic system to design predictive controller directly. Finally adjusted the controller parameter θu adaptively based on tracking error. It is proved that the proposed method can make the tracking error converge to a small neighborhood of the origin. Simulation results demonstrate the effectiveness of the method.