基于Smith预估器的自适应广义预测控制

Adaptive generalized predictive controller based on Smith predictor

针对参数缓慢变化的大时滞被控对象,提出了一种基于Smith预估器的自适应广义预测控制方案,在广义预测控制的等价结构中用Smith预估器替换原最优预估器,并通过参数在线辨识,不断修正Smith预估器模型和广义预测控制器参数。仿真结果证明,该方案动态响应快,跟踪效果好,能有效克服时滞影响。

The Adaptive Generalized Predictive Control algorthm is proposed for time-varying system with time-delay. Instead of optimal predictor, the model is constituted by Smith predictor that makes up identifying parameters using Recursive Forgetting Factor Method. The simulation results show that this algorithm has excellent tracking performance and dynamic responds, and can overcome the time-delay effectively.