An Accurate Virtual Signal Injection Control of MTPA for IPMSM with Fast Dynamic Response

Wang, Jun, Huang, Xiaoyan, Yu, Dong, Chen, Yu Zheng, Zhang, Jian, Niu, Feng, Fang, You Tong, Cao, Wenping and Zhang, He (2017). An Accurate Virtual Signal Injection Control of MTPA for IPMSM with Fast Dynamic Response. IEEE Transactions on Power Electronics ,

Abstract

A maximum torque per ampere (MTPA) control based on virtual signal injection for interior permanent magnet synchronous motor (IPMSM) with fast dynamic response is proposed in this paper. A small square wave signal is mathematically injected into current angle for accurately tracking MTPA points. The extracted derivative of elctromagnetic torque is utilized to compensate the initially set current angle to the real MTPA operation current angle. Due to the absence of bandpass and lowpass filters which are essential in the sinusoidal injected signal scheme, this method shows good dynamic response. By incorporating a modified equation for the torque after signal injection, the steady-state accuracy is also enhanced. The d- and q-axes current references are obtained through the current vector magnitude and optimal current angle instead of using the torque equation with nominal motor parameters, which guarantees the accuracy of the output torque. The proposed scheme is parameter independent and no real signal is injected to the current or voltage command. Thus, the problems of high-frequency signal injection method are avoided. A prototype is set up and experiments are carried out to verify effectiveness and robustness of the proposed control scheme.

Publication DOI: https://doi.org/10.1109/TPEL.2017.2764500
Divisions: Engineering & Applied Sciences
Additional Information: Copyright: IEEE 2017.
Uncontrolled Keywords: Interior permanent magnet synchronous motor (IPMSM),maximum torque per ampere (MTPA),virtual signal injection,Electrical and Electronic Engineering
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2017-10-19
Authors: Wang, Jun
Huang, Xiaoyan
Yu, Dong
Chen, Yu Zheng
Zhang, Jian
Niu, Feng
Fang, You Tong
Cao, Wenping ( 0000-0002-8133-3020)
Zhang, He

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