关键词: 多模型, 阶梯式控制, 广义预测控制, 自适应

Abstract: A stair-like generalized predictive control algorithm based on multiple models switching is proposed for systems with jumping parameters.Multiple fixed models,a conventional adaptive model and an assigned initial value adaptive model are established to identify dynamic characteristic in parallel. Multiple fixed models can improve transient performance,conventional adaptive model can ensure the stability of systems and assigned initial value adaptive model can further enhance transient performance.The best sub-model is selected as global model according to the switching index,and a stair-like generalized predictive controller is designed for this model.Consequently,the full-range operation is achieved.Finally,simulation shows that the control effect of proposed method is superior to a single controller.

Key words: multiple models, stair-like control, generalized predictive control, adaptive