多变量自寻优极点配置自校正控制器

A MULTIVARIABLE SELF-OPTIMIZATION POLE ASSIGMENT SELF-TUNING CONTROLLER

本文提出了一种多变量自寻优闭环移动极点极点配置目校正控制算法,其基本策略是:在控制过程中,以多变量广义最小方差为目标自动移动闭环极点,且在控制量允许的范围内,使闭环极点处于理想位置上。理论与仿真表明:本文给出的算法避免了预先确定闭环极点位置所带来的种种不利现象,不仅能实现最优控制,且仍具有极点配置的鲁棒性。

This paper presents a multivariable self-optimization pole assignment self-tuning control algorithm. It can automatically search closed-loop poles and be located on appropriate positions in the allowable scale of control measure. This algorithm not only avoids the pre-determination of the closed-loop pole position, but also implements optimization control while keeping robustness of the pole placement.