1.School of Electrical and Information Engineering Tianjin University Tianjin 300072 China 2.Tianjin Engineering Center of Electric Machine System Design and Control Tianjin 300387 China
Abstract：Voltage-source inverter(VSI)nonlinearity will influence parameter identification accuracy of surface permanent magnet synchronous machines(SPMSM).This paper establishes a parameter identification model which is not affected by VSI nonlinearity,the process only need to transform stator voltage equations to eliminate the distorted voltage that caused by VSI nonlinearity.Besides,in order to improve convergence speed and reduce steady-state error of the identification results,the proposed method uses Adaline neural network method with a momentum item to identify motor parameters.Experimental results show that the proposed method can improve the identification precision of inductance,stator resistance and rotor flux linkage of the motor,and accelerate the convergence speed of identification results.
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2017, Vol. 32 
