Abstract

In this paper, the speed tracking problem of the interior permanent magnet synchronous motor (IPMSM) of an electric vehicle is studied. A cascade speed control strategy based on active disturbance rejection control (ADRC) and a current control strategy based on improved duty cycle finite control set model predictive control (FCSMPC) are proposed, both of which can reduce torque ripple and current ripple as well as the computational burden. First of all, in the linearization process, some nonlinear terms are added into the control signal for voltage compensation, which can reduce the order of the prediction model. Then, the dq-axis currents are selected by maximum torque per ampere (MTPA). Six virtual vectors are employed to FCSMPC, and a novel way to calculate the duty cycle is adopted. Finally, the simulation results show the validity and superiority of the proposed method.

Highlights

  • With the gradual exhaustion of resources and the aggravation of global pollution, Electric Vehicles (EVs) have become the future development trend of the automobile industry

  • A cascade speed controller based on active disturbance rejection control (ADRC) and a current controller based on improved finite control set model predictive control (FCSMPC) for interior permanent magnet synchronous machines (IPMSM) are proposed

  • The system block diagram of the overall motor-control scheme is shown in Figure 1, which consists3.oDf aensiIgPnMoSfMS,paeethdrCeeo-npthraoslelevroBltaasgeedionnveIrmtepr,roavceodorDduintyatCe ytrcalnesFfoCrSmMatPiCon, speed controll3e.r1.bSastreudctounreAoDf CRoCntaronldSaysctuemrrent controller based on improved duty cycle

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Summary

Introduction

With the gradual exhaustion of resources and the aggravation of global pollution, Electric Vehicles (EVs) have become the future development trend of the automobile industry. Some intelligent control methods have been proposed to improve the control performances, such as robust and adaptive nonlinear approaches, sliding mode control, neural network, fuzzy controllers and genetic algorithms (GAs), backstepping control, and active disturbance rejection control (ADRC). ADRC is an attractive control technique for IPMSM due to its extended state observer, which could observe and compensate interior model disturbance and exterior load disturbance [15] It is usually used as the speed controller in the IPMSM drive systems. A cascade speed controller based on ADRC and a current controller based on improved FCSMPC for IPMSM are proposed.

Mathematical of IPMSM
Structure of Control Syste0m
Speed Controller Based on ADRC
Current Controller Based on FCSMPC
Improved Duty Cycle FCSMPC
Simulation Results
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