Abstract：The quasi-steady-state model for identification and the new method of online multi-parameter identification for surface-mounted permanent magnet synchronous motors under quasi-steady-state are presented in order to overcome the deficiency of the traditional parameter identification for permanent magnet synchronous motors under steady and dynamic states.The new method is based on the forgetting factor recursive least squares (FRLS) algorithm and has enough precision of identification with the guide of error analysis for optimization.The complete three electrical parameters of surface-mounted permanent magnet synchronous motors can be quickly and simultaneously identified with the new method,which has acceptable computational complexity and is suitable for the engineering applications.The experiment study verifies the feasibility and validity of the method,which was implemented on the experiment platform based on DSP and intelligent power module.
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2016, Vol. 31 
