串联系统的多前馈-反馈广义预测控制

Multiple feed-forward and feedback generalized predictive control for cascade system

为了充分利用对象的可知信息以实现串联系统的最优控制 ,提出了串联系统的多前馈 -反馈广义预测控制算法。该算法把系统的可知外部扰动作为系统的多输入变量 ,把可测量的中间变量作为系统的多输出变量。运用多变量广义预测控制的思想给出了算法的控制结构 ,实现了前馈控制与反馈控制的有机结合。仿真结果表明 。

A multiple feed-forward and feedback GPC algorithm for cascade system is developed to make full use of the available information of the plant so as to bring about the optimum control performance. This algorithm takes the knowable exterior disturbances as the multiple inputs and the measurable internal variables as the multiple outputs. The feedback control and the feed-forward control are integrated naturally by utilizing the multi-GPC methodology. Simulation results show that this algorithm improves the ability of resisting disturbance and robustness substantially.