Parameter Optimization of Linear Quadratic Controller Based on Genetic Algorithm
The selection of weighting matrix in design of the linear quadratic optimal controller is an important topic in the control theory. In this paper, an approach based on genetic algorithm is presented for selecting the weighting matrix for the optimal controller. Genetic algorithm is adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. In this algorithm, the fitness function is used to evaluate individuals and reproductive success varies with fitness. In the design of the linear quadratic optimal controller, the fitness function has relation to the anticipated step response of the system. Not only can the controller designed by this approach meet the demand of the performance indexes of linear quadratic controller, but also satisfy the anticipated step response of close-loop system. The method possesses a higher calculating efficiency and provides technical support for the optimal controller in engineering application. The simulation of a three-order single-input single-output (SISO) system has demonstrated the feasibility and validity of the approach.
genetic algorithm weighting matrix linear quadratic controller parameter optimization
LI Jimin SHANG Chaoxuan ZOU Minghu
Department of Optical and Electronic Engineering,Ordnance Engineering College,Shijiazhuang 050003,Ch Army 65185,Shenyang 110000,China
国内会议
北京
英文
208-211
2007-07-15（万方平台首次上网日期，不代表论文的发表时间）