多变量自寻优极点配置自校正控制器
Multivariable Self-optimization Pole Assignment Self-tuning Controller
-
摘要: 本文提出的一种多变量自寻优闭环移动极点自校正控制算法的基本策略是: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,且使其在控制量允许的范围内,闭环极点处在理想位置的系统。这样不仅能实现最优控制,且具有极点配置的鲁棒性。Abstract: This paper presents a multivariable self-optimization pole assignment, self-tuning control algorithm. It can sslf search closed-loop poles and be located on approprate positions in the allowing scale of control measure. This algorithm not only implements optimization control, but also has still robustness of pole assignment.
下载: