Model-Free Simplified Predictive Current Control of PMSM Drive with Ultra-Local Model-Based EKF

Zerdali, Emrah; Wheeler, Patrick

Abstract

The importance of permanent magnet synchronous machines (PMSMs) is increasing day by day due to trends in the electrification of transportation and the use of wind farms. The predictive current control (PCC) strategy has been widely applied to the control of power converters and electrical machines over the past decade. However, parameter dependency and computational complexity are known disadvantages of the conventional PCC strategy. To deal with the weakness caused by parameter inconsistencies, model-free PCC strategy has been proposed. The simplified PCC strategies have also been applied to reduce computational complexity. In this paper, a model-free simplified PCC (MF-SPCC) strategy combined with the ultra-local model-based extended Kalman filter (EKF) has been proposed for a PMSM drive. The proposed electric drive system has been verified by simulation studies and finally robust control performance has been achieved under parameter mismatches.

Citation

Zerdali, E., & Wheeler, P. (2021, October). Model-Free Simplified Predictive Current Control of PMSM Drive with Ultra-Local Model-Based EKF. Presented at 2021 3rd Global Power, Energy and Communication Conference (GPECOM), Antalya, Turkey (Online)

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2021 3rd Global Power, Energy and Communication Conference (GPECOM)
• Start Date: Oct 5, 2021
• End Date: Oct 8, 2021
• Acceptance Date: Aug 15, 2021
• Publication Date: Oct 5, 2021
• Deposit Date: Feb 17, 2022
• Publicly Available Date: Feb 17, 2022
• Pages: 62-66
• Book Title: 2021 3rd Global Power, Energy and Communication Conference (GPECOM)
• ISBN: 9781665435130
• DOI: https://doi.org/10.1109/GPECOM52585.2021.9587527
• Public URL: https://nottingham-repository.worktribe.com/output/7472307
• Publisher URL: https://ieeexplore.ieee.org/document/9587527
• 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 the copyrighted component of this work in other works.