Design of the Self-Adaptive Sliding Mode Position Controller based on Genetic Algorithm Optimization for the Servo Motor Drive System

摘要：

　　The self-adaptive sliding mode position controller based on genetic algorithm optimization is designed for the servo motor drive system.Firstly,the self-adaptive sliding mode position controller is researched to estimate the magnitude of the unknown disturbance in the perturbed system.Then,the adaptive genetic algorithm is used to optimize the ideal adaptive parameters and switching parameters.In the end of the paper,several simulation experiments are carried out to test the performance of the system.The results show that the adaptive genetic algorithm has better control performance and position tracking response for the system parameter variation and external load disturbance.

关键词： the self-adaptive sliding mode control genetic algorithm optimization

作者: Leiming Jiao Yanhong Luo Pengqiao Zhang Linlin Li Xiangtian Zheng Ge Qi Hong Jia Hengyu Liu

作者单位: College of Information Science and Engineering,Northeastern University,Shenyang,China Yingkou Power Supply Company,State Grid Liaoning Electric Power Co.Ltd,Yingkou,China Qianhai Shenzhen FellowPlus Internet Financial Services Inc,Beijing,China Department of Electrical Engineering,Tsinghua University,Beijing,China State Grid Chaoyang Electric Power Supply Company,Liaoning Province,Chaoyang,China

会议类型: 国际会议

会议名称: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference(ITOEC2017)(2017 IEEE 第3届信息技术与机电一体化工程国际学术会议)

会议地点: 重庆

会议语种:英文

页码: 821-825

在线出版日期: 2017-10-03（万方平台首次上网日期，不代表论文的发表时间）