GPU implementation of DPSO-RE algorithm for parameters identification of surface PMSM considering VSI nonlinearity

In this study, an accurate parameter estimation model of surface permanent magnet synchronous machines (SPMSM) is established by taking into account voltage-source-inverter (VSI) nonlinearity. A fast dynamic particle swarm optimization (DPSO) algorithm combined with a receptor editing (RE) strategy...

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Bibliographic Details

Main Authors:	Zhao-Hua Liu, Hua-Liang Wei, Qing-Chang Zhong, Kan Liu, Xiao-Hua Li
Format:	Default Article
Published:	2017
Subjects:	Mechanical engineering not elsewhere classified Particle swarm optimization (PSO) Artificial immune system (AIS) Graphics Processing Unit (GPU) Parallel computing Parameter estimation Permanent magnet synchronous machines (PMSMs) Voltage-source-inverter (VSI) Nonlinearity Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/25085
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