Design of a Robust Optimal Controller for Five-Phase Permanent Magnet Assisted Synchronous Reluctance Motor in Electric Vehicle Application

Islam, Khurshedul; Karimi-Ghartemani, Masoud; Choi, Seundeog

doi:10.1109/apec42165.2021.9487435

Cited by 3 publications

(1 citation statement)

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“…This allows the control of the motor torque and speed independently. Vector control can be implemented with field-oriented control (FOC) or direct torque control (DTC) [23,24]. Direct torque control is a method that directly controls the stator flux and torque by selecting the optimal voltage vector from a switching table.…”

Section: Introductionmentioning

confidence: 99%

Design and Control of a Permanent Magnet Assisted Synchronous Reluctance Motor

BOUDJELIDA,

HİSAR,

SEFA

2023

International Journal of Automotive Science and Technology

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In recent years, studies aiming to use different motor types for traction purpose, such as in electric vehicles, have become increasingly widespread. Among these motor types, permanent magnet assisted synchronous reluctance motor (PMa-SynRM) has become in-creasingly preferred in commercially electric vehicles nowadays. This study addresses the design and control of a PMa-SynRM, also the comparison with the synchronous reluc-tance motor (SynRM). The motor design process is carried out using the finite element method in Ansys-Maxwell environment. A series of a simulation studies is conducted in the MATLAB/Simulink environment for controlling the obtained motor designed in An-sys-Maxwell. The field-oriented control (FOC) approach is chosen for precise speed con-trol. As a result of the simulation studies, it is observed that the designed motor tracks the reference with minimal error under various load conditions within a closed-loop system. Also, this paper investigates how the PM implementation affects the machine perfor-mance comparing to SynRMs. In addition, such a study takes into account that the de-sign of machines involves always several constraints, including geometry, materials, sup-ply limits, and performance constraints.

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Section: Introductionmentioning

confidence: 99%