Kalman Filter Based Fault Detection of Dual Motor Systems
作者单位：Beijing Institute of Technology North China University of Technology
会议名称：《第36届中国控制会议》
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：supported by the National Natural Science Foundation of China under Grants 61433003 61273150 61321002
关 键 词：Kalman Filter Fault Detection Dual Motor Systems
摘 要：Fault detection of a class of dual motor systems is discussed in this paper.A linear dual motor systems with sensor faults and actuator faults as well as random noise are modeled,and a kalman filter based fault detection scheme is *** the designed fault detection scheme,a kalman filter based residual generator is constructed to generate the residual signal,and then an evaluation function is used to provide the fault decision,also a threshold is designed to detect the occurrence of ***,a simulation example is given to show the applicability and effectiveness of the proposed fault detection approach.