Torque Ripple Suppression for IPMSM using FEA- based Model Predictive Direct Torque Control

Nasr, Ahmed; Gu, Chunyang; Zhao, Weiduo; Bozhko, Serhiy; Gerada, Chris

Abstract

The interest in model predictive direct torque control (MP-DTC) for high-performance dynamic control of electric drives has been growing. Unlike the conventional direct torque control (DTC), MP-DTC can achieve optimal voltage selection by predicting the control variables evaluations using a machine model. However, the model-machine mismatch can degrade the control performance significantly, especially for the interior permanent magnet synchronous machine (IPMSM) because of its highly nonlinear characteristics. Therefore, this paper describes an investigation of the MP-DTC algorithm that exploits the advantages of a finite element analysis (FEA) based model in representing the behavior of the IPMSM precisely, including the magnetic saturation and spatial harmonics effects, to suppress the torque pulsations and eliminate the steady-state torque error. Moreover, this approach optimizes the duty ratio simultaneously with the voltage vector selection to guarantee further torque ripple reduction under steady-state operation, especially at low speeds. Simulation results of an 80-kW IPMSM drive are presented to validate the model and the proposed control method.

Citation

Nasr, A., Gu, C., Zhao, W., Bozhko, S., & Gerada, C. (2021, April). Torque Ripple Suppression for IPMSM using FEA- based Model Predictive Direct Torque Control. Presented at IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD 2021), Modena, Italy

• Presentation Conference Type: Edited Proceedings
• Conference Name: IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD 2021)
• Start Date: Apr 8, 2021
• End Date: Apr 9, 2021
• Acceptance Date: Mar 2, 2021
• Online Publication Date: May 11, 2021
• Publication Date: Apr 8, 2021
• Deposit Date: Aug 6, 2021
• Publicly Available Date: Aug 6, 2021
• Peer Reviewed: Peer Reviewed
• Pages: 204-209
• Book Title: 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
• ISBN: 9781728176161
• DOI: https://doi.org/10.1109/wemdcd51469.2021.9425636
• Public URL: https://nottingham-repository.worktribe.com/output/5957292
• Publisher URL: https://ieeexplore.ieee.org/document/9425636
• Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.