摘要
针对电机控制系统中电流传感器故障提出了一种自愈控制方式。考虑转子电阻不确定性,结合多项式混沌理论与卡尔曼滤波算法,设计了多项式混沌电流观测器,基于该观测器实现对电机系统中电流传感器的实时监测、故障诊断和故障隔离。在传感器正常时,利用观测器观测值进行故障诊断;当故障发生时,隔离传感器,观测器反馈观测值给控制电路,从而实现对系统的自愈控制,提高了系统稳定性。仿真结果验证了该方法的有效性。
This paper proposes a self-healing control method for sensor faults in the motor drive system. Considering the uncertainty of rotor resistance in the system, a polynomial chaos observer is designed by combining polynomial chaos theory with Kalman filter. With the observer, real-time monitoring, fault diagnosis and isolation of the current sensor are fulfilled. When sensors are in healthy condition, observed values of the observer are utilized to fault diagnosis; if faults occur in current sensor, the sensor is isolated, the observer feeds back observed values to the control circuit, thereby the goal of self-healing control for the motor system is achieved. The method improves the stability of the system. Finally, simulation results demonstrate the effectiveness of the method.
作者
沈艳霞
卞高峰
林京京
SHEN Yan-xia;BIAN Gao-feng;LIN Jing-jing(Engineering Research Center of Intemet of Things Technology Applications Ministry of Education,Jiangnan University,Wuxi 214112,China)
出处
《控制工程》
CSCD
北大核心
2018年第10期1785-1790,共6页
Control Engineering of China
基金
国家自然科学基金(61573167)
江苏省自然科学基金(BK20141114)
中央高等基本科研业务费专项资金资助项目(JUSRP51510)
关键词
多项式混沌观测器
故障诊断
故障隔离
自愈控制
Polynomial chaos observer
fault diagnosis
fault isolation
self-healing control