Author： Zhang Duo Liu Guohai Zhao Wenxiang
Publisher： Inderscience Publishers
ISSN： 1471-0226
Source： International Journal of Vehicle Autonomous Systems, Vol.11, Iss.2-3, 2013-05, pp. : 279-291
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
A five-phase in-wheel fault-tolerant interior permanent-magnet (FT-IPM) motor incorporates the merits of high efficiency, high power density and high reliability, suitable for Electric Vehicles (EVs). A new remedial Neural Networks Inverse (NNI) control strategy is proposed to attain the post-fault operation. In this scheme, the NN is used to approximate the inverse model of the FT-IPM motor. With this NNI system and the original motor drive combined, a pseudo-linear compound system can be obtained. The simulation demonstrates that the proposed control strategy leads to excellent control performance at the faulty mode and offers good robustness against load disturbance.
Related content
Access to resources
Recommend
