Robust Controller Design Based on Hankel Norm and Gap Metrics for BTT Flight Vehicle

摘要：

　　Dynamic uncertainties and flight environment uncertainties are important factors that affect attitude control performance of Bank-to-Turn vehicle.Low order robust controller design method under these uncertainties is presented.A dual-loop control architecture using state-feedback and μ synthesis combined with genetic algorithm is presented.The feedback parameters and the weight functions of μ controller are optimized by using the genetic algorithm.A controller reduction method based on Hankel norm and gap metrics is proposed to reduce the order and complexity of the robust controller.A lower order robust controller guaranteeing the stability and tracking performance of the close-loop system is obtained.The simulation results show the design method is effective.The design procedure and analysis show that this method is also effective in the tracking system with model uncertainties.

关键词： Gap Metrics Genetic Algorithm μsynthesis Controller Reduction

作者: WANG Ping PENG Hui

作者单位: School of Electronic Industry and Engineering,Jiu Jiang University,Jiujiang 332005

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 4192-4197

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）