Optimized Fuzzy Neural Networks Control of a Magnetic Suspension Vibration Isolation System

摘要：

　　Active vibration isolation technology can overcome the defects of passive vibration isolation technology that the poor vibration isolation performance in low and resonant frequencies.Compared with other active vibration isolation technologies, magnetic suspension isolation technology has shown useful characteristics, such as wide response frequency range, fast response, high reliability and long-life.However, the control of MSVI is still one of the areas that require further investigation.This paper presents a Fuzzy Neural Networks(FNN) control algorithm for a magnetic suspension isolation vibration system, which is optimized by improved Genetic Algorithm(GA).The output force responses of the FNN and passive vibration isolation system under same excitation are simulated.The simulation results show that the fuzzy control system has much better performance in vibration isolation.

关键词： Magnetic suspension isolator Optimized FNN control Improved GA Electromagnetic force

作者: Chunsheng Song Yefa Hu

作者单位: School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 328-334

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）