GA Based Fault Parameter Identification for Hybrid System with Unknown Mode Changes

摘要：

This paper presents a method for the identification of the fault parameters of hybrid systems with unknown mode changes after fault occurring. The identification method utilizes Genetic Algorithm (GA) to identify fault parameters and unknown mode changes simultaneously based on Global Analytical Redundancy Relation (GARR). Fault parameters and mode change time of all switches are encoded into one chromosome as potential solution of the identification process. The GARR is adopted as the performance index of GA search. With the fault parameter values identified by the proposed method, we can tell the healthy status of monitored hybrid system. Experiment results show the efficiency of the proposed method.

作者: Ming Yu Danwei Wang Shai A. Arogeti

作者单位: School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore 639798

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 16-20

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）