参数时变系统的广义预测控制研究

针对参数时变系统,研究了自适应预测控制器的设计问题.采用隐式广义预测控制算法(IGPC),无需辨识对象模型参数,而是利用输入/输出数据直接辩识控制器参数,以求解最优控制增量,具有计算量小、实时性高的特点.仿真结果表明,在不需要关于被控对象先验知识的情况下,隐式广义预测控制器可以很好地跟踪设定值的变化,同时对于系统外部干扰和模型参数的变化具有很好的适应能力,在参数时变系统控制器设计中具有良好的应用前景.

Generalized Predictive Control of Electro-hydraulic Proportional System

An adaptive predictive controller is proposed for time-varying system. The arithmetic of implicit expression generalized predictive control(IGPC) is put forward to compute the optimal control signal increment. In order to decrease the computing work and increase the computing speed, the system input-output data are used to identify the controller parameters directly and the plant model parameters are no need. Simulation results show that the controller can track the change of setting value excellently even though without any prior information of controlled system, and have excellent adaptive abilities for the changes of system external disturbing signals and model parameters. It is also validated that this method can be applied to the controller design of time-varying system.