Abstract

A novel direct torque control (DTC) method based on sliding-mode-control (SMC) strategy is proposed for permanent magnet synchronous motor (PMSM) which is used in electric vehicles (EVs). In order to improve the dynamic response time and enhance the robustness performance against the external loading disturbances and motor parameter’s variation, a kind of SMC-based torque controller and speed controller are designed to regulate the torque angle increment and the speed respectively. The torque controller is designed based on a sliding mode controller with an asymmetric boundary layer to reduce the overshoot. Compared with other DTC methods based on space vector modulation (SVM) in the literature, the proposed DTC scheme adopts the asymmetric boundary layer SMC instead of the proportional-integral (PI) regulator. The simulation results have validated the effectiveness of the proposed SMC-based DTC method.

Highlights

  • In recent years, the study on Electric Vehicles/Hybrid Electric Vehicles (EVs/HEVs) has warmed up due to the serious air pollution and the stringent regulations on emissions as well as constraints on energy resources

  • To test the effectiveness of the proposed asymmetric boundary layer SMC-direct torque control (DTC) method, contrastive simulation is done in the MATLAB/Simulink software

  • SMC-DTC method is contrasted to the conventional DTC method and symmetric boundary layer

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Summary

Introduction

The study on Electric Vehicles/Hybrid Electric Vehicles (EVs/HEVs) has warmed up due to the serious air pollution and the stringent regulations on emissions as well as constraints on energy resources. Different from the decoupled current control in FOC, the conventional DTC uses two hysteresis regulators and a switching table to control electromagnetic torque and stator flux linkage directly. The DTC is better than FOC for the application of EVs which require high torque response [3]. This scheme has several major disadvantages, namely large torque and flux ripples, variable switching frequency and high sampling requirement for digital implementation [4]. To address these problems, numerous modified DTC methods have been proposed from various perspectives.

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