Deadbeat Current Predictive Control for SPMSM Based on Multi-innovation Least Squares Online Parameter identification

doi:10.3969/j.issn.1008-0198.2026.02.005

Abstract

Abstract: Aiming at the problem that parameter mismatch impairs the current loop performance in the sensorless control system of surface-mounted permanent magnet synchronous motors(SPMSM), this paper proposes a deadbeat current predictive control method based on online parameter identification.first, in accordance with the characteristics of permanent magnet motor control systems, deadbeat current predictive control is employed to enhance the dynamic response performance of the current loop. Second, an online identification approach for motor parameters including inductance, flux linkage, and resistance are proposed, which integrates the multi-innovation theory with the least squares method. finally, the identified results are fed back to the deadbeat current predictive controller in real time, realizing the online update of control parameters and the compensation for parameter mismatch. The simulation results indicate that this method can effectively improve the steady-state performance of the current loop controller under the condition of motor parameter perturbation.

Key words: permanent magnet synchronous motor(PMSM), sensorless control, predictive control of deadbeat current control, online parameter identification, multi-interest least squares

CLC Number:

TM341

WU Rong, ZHONG Chunliang, LUO Zhaoxu, ZHAO Kaihui. Deadbeat Current Predictive Control for SPMSM Based on Multi-innovation Least Squares Online Parameter identification[J]. Hunan Electric Power, 2026, 46(2): 31-40.

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