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Comparison of speed loop control methods for IPM motor in electric vehicles Thi Hoai Thu Anh, An; Nhu, Tran Van; Hieu, Tran Trong
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp719-727

Abstract

With its outstanding features, such as high efficiency and torque-producing capability compared with the induction motor, the interior permanent magnet synchronous motor (IPMSM) has been increasingly researched and used for electric vehicles. The speed control strategy for both low and high speeds of the IPMSM is studied in conjunction with controllers based on the field oriented control (FOC) structure to ensure accurate and stable system response under various operating conditions. This paper focuses on three control methods: sliding mode control (SMC), backstepping (BSP), and proportional integral (PI) for the speed loop to enhance system stability. Coupled with the presence of load disturbances, environmental disturbances, and uncertainties in parameters, comparisons and observations regarding the three methods can be made to conclude system stability and performance. Finally, simulation results on MATLAB/Simulink software confirm the effectiveness and validity of the proposed speed controllers.
Application of the model reference adaptive system method in sensorless control for elevator drive systems using 3-Phase permanent magnet synchronous motors Khoi, Tran Van; Anh, An Thi Hoai Thu; Hieu, Tran Trong
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i1.pp149-157

Abstract

Improving sensorless control performance in elevator drive systems using three-phase permanent magnet synchronous motors (PMSM) has become increasingly popular to reduce costs and enhance system stability. The primary operation of the elevator involves motor mode when the cabin moves upward and shifts to generator mode or braking mode under the influence of gravity when moving downward. This presents significant challenges for sensorless control. To address these issues, the model reference adaptive system (MRAS) based on the mathematical d-q axis model of the PMSM is proposed to estimate rotor speed and position. Combined with field-oriented control (FOC), this method optimizes performance and precisely controls motor torque without requiring physical sensors. Additionally, a low-pass filter is employed to process input signals, such as voltage and current, to improve estimation accuracy and optimize speed response. Simulation results from MATLAB/Simulink demonstrate highly accurate speed responses, particularly under continuous load variations.