LI Sheng-quan, ZHANG Shao-de, XIAO Xiao-shi. Optimization design for weighting matrix of LQR controller based on chaos variable[J]. 2007, (12): 88-90. DOI: 10.13873/j.1000-97872007.12.029.
基于混沌变量的LQR控制器权矩阵优化设计
摘要
针对线性二次最优控制中加权矩阵难以确定的问题
引入一种系统瞬态响应这一具有直接工程意义的品质指标
提出基于logistic混沌变量的LQR权矩阵优化设计方法
为改善混沌变量大范围寻优效果不明显的不足
引入了混沌局部细搜索
找出全局最优值。根据该方法确定加权阵设计的最优控制器
可实现闭环系统具有所期望的动态特性
能保证闭环系统的渐进稳定性
且具有较大的稳定裕度。最后
通过一个SISO三阶系统的仿真实列
表明了该方法的可行性和优越性。
Abstract
The method of chaos optimization
which is based on the transient response of the system
designed for weighting matrix of LQR controller is proposed
in order to solve the difficult of the choice of weighting matrix.The chaotic variable is applied to get global optimum by means of combination global and partial chaos searching.The controller designed by the approach can satisfy the performance index of linear quadratic and the anticipated step response of close-loop system simultaneously.At last
the effectiveness and feasibility are demonstrated by simulation results of a three order SISO system.