Fault-Tolerant Predictive Control for Demagnetization Faults in Permanent Magnet Synchronous Machine
Zhang Changfan1， Wu Gongping1， He Jing1,2， Feng Jianghua3， Zhao Kaihui1
1.College of Electrical and Information Engineering Hunan University of TechnologyZhuzhou 412001 China 2.College of Mechatronics and Automation National University of Defense TechnologyChangsha 410073 China3.CRRC Zhuzhou Electrical Locomotive Research Institute Co.Ltd Zhuzhou 412001 China
Abstract In the rail transit traction systems,the permanent magnet demagnetization faults in the permanent magnet synchronous motor(PMSM)can lead to the problem of load capacity reduction.A fault-tolerant predictive control method based on the on-line detection of flux linkage is proposed.Firstly,the effect of current control and motor running state caused by demagnetization of permanent magnet will be analyzed in great detail with conforming to predictive control model of permanent magnet synchronous motor.Then,a real-time estimation equation for permanent magnet flux linkage is established based on the equivalent control principle of sliding mode variable structure,whereas the observer is designed based on sliding mode variable structure.Through the permanent magnet flux linkage formula,and then calculate the state current observation value.Finally,a fault-tolerant predictive control algorithm is constructed.The algorithm used state current observation value as feedback to input the fault-tolerant predictive controller.And it can eliminate the current error,which will achieve the purpose of fault-tolerant control.Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed algorithm.
Zhang Changfan,Wu Gongping,He Jing等. Fault-Tolerant Predictive Control for Demagnetization Faults in Permanent Magnet Synchronous Machine[J]. Transactions of China Electrotechnical Society, 2017, 32(15): 100-110.
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2017, Vol. 32 
