基于反电动势的地铁牵引电机电流传感器故障检测与容错控制
Fault detection and fault tolerance control of subway traction motor current sensor based on counter electromotive force
冯秋峰 1李小波 1张煜2
作者信息
- 1. 上海工程技术大学城市轨道交通学院 上海 201620
- 2. 上海地铁电子科技有限公司 上海 200233
- 折叠
摘要
针对地铁列车牵引系统电流传感器发生故障时给列车运行带来重大安全风险这一问题,提出了一种新型的故障监测与容错控制算法.首先,利用三相异步电机的静态数学模型结合转子磁链与反电动势的特定关系设计了电流滑模观测器.然后,将电流传感器的测量值与滑模观测器中的估计值进行比对并生成电流残差,通过修正的Bayes分类算法对电流传感器工作状态进行实时监测与定位.当故障发生时用观测器中的电流重构值代替故障值参与系统的控制.最后,利用仿真平台MATLAB/Simulink对其有效性进行验证并与另外3种典型的控制算法进行对比分析.研究结果表明,方案具有较高的精度和较强的鲁棒性,在对三相电流重构方面优于对比方案,其系统综合误差减小了24.2%,具有更好的控制效果.
Abstract
Aiming at the problem of the major safety risks for the train operation caused by the fault of the current sensor in the subway train traction system,a new fault monitoring and tolerant control algorithm was proposed.Firstly,a current sliding mode observer was designed by using the static mathematical mode of the three-phase asynchronous motor and the specific relationship combined the rotor flux and the counter electromotive force of the motor.Secondly,the current residual was generated by comparing the measured value of the current sensor with the current estimation in the current sliding mode observer,and the working state of the current sensor was monitored and located by the modified Bayes classification algorithm in real time.When the fault occurred,the system was controlled by the current reconstruction value instead of the fault value in the original current sensor.Finally,the feasibility of the scheme was verified by the MATLAB/Simulink simulation platform,which was compared with other three typical fault-tolerant control algorithms.The research results show that the scheme has higher accuracy and stronger robustness,which is based on the counter electromotive theory of the three-phase asynchronous motor.In terms of three-phase current reconstruction,the comprehensive error is reduced by 24.2%,which has better control effect.
关键词
反电动势/滑模观测器/Bayes算法/容错控制/电流传感器故障Key words
counter electromotive force/sliding mode observer/Bayes algorithm/fault tolerant control/current sensor fault引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据