摘要
针对利用确定性方法对参数不确定系统进行具有区域极点约束的H∞鲁棒控制综合具有计算复杂、保守性大等特点,一种基于概率鲁棒性分析思想的新控制器设计方法被提了出来。然后,利用多目标遗传算法对其进行求解。仿真结果显示,此设计方法简单、保守性小,而且能满足系统动态性能和对扰动抑制的鲁棒性要求,是有效、实用的。
Aiming at the characteristics of the computational complexity and design conservation of the H∞ robust control synthesis with regional pole constraints which used the deterministic algorithms for parameter uncertainty system, a novel controller design method based on the probabilistic robustness analysis method was proposed And the multi-objective optimization model of the controller was established Then, based on the character of the model, the multi-objective genetic algorithm was employed to search the controller The simulation results show that the new design method is simple, slightly conservational and can satisfy the robustness requirements of the dynamic performance and the restraining disturbance. So it is effective and applicable.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第16期5164-5168,共5页
Journal of System Simulation
