Design Approach of Weighting Matrices for LQR Based on Multi-objective Evolution Algorithm

摘要：

Aiming at the difficulty of designing weighting matrices for linear quadratic regulator (LQR),a multi-objective evolution algorithm (MOEA)based approach is proposed.The LQR weighting matrices,state feedback control rate and optimal controller are obtained by means of establishing the objective optimization model of LQR weighting matrices and applying MOEA to it,which makes control system meet multiple performance indexes simultaneously.Controller of double inverted pendulum system is designed using the proposed approach.Simulation results show that it has shorter adjusting time,smaller amplitude value deviating from steady-state than the pole assignment LQR weighting matrices design approach.So the validity of the proposed approach is confirmed.

作者: Yong Li Jianchang Liu Yu Wang

作者单位: Key Laboratory of Integrated Automation of Process Industry , Ministry of Education Northeastern Uni Department of Automatic Control Shenyang Institute of Aeronautical Engineering Shenyang,Liaoning Pro

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1188-1192

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）