Fault Tolerant Control Strategy Based On Model Predictive Control And Unscented Kalman Filter For Permanent Magnet Synchronous Motor

Aboelhassan, Ahmed; El Sayed, Waseem; Hebala, Ahmed; Galea, Michael; Bozhko, Serhiy

Abstract

Permanent Magnet Synchronous Motors (PMSMs) are now extensively used in many critical applications. There is an increasing need for the motor and control system to have fault tolerant capabilities. This paper presents a fault tolerant control strategy to operate the PMSM during inter-turn fault conditions. The proposed technique combines the Model Predictive Control (MPC) for the speed and current control loops, and an almost error-free Unscented Kalman Filter (UKF) to estimate the PMSM inter-turn fault ratio. The PMSM state-space model for healthy and faulty conditions will be presented. Also, the equations and the remedial action of the MPC and UKF are provided in detail. The proposed algorithm is applied to PMSM model as a case study with a range of simulation analysis and discussion of results.

Citation

Aboelhassan, A., El Sayed, W., Hebala, A., Galea, M., & Bozhko, S. (2021, August). Fault Tolerant Control Strategy Based On Model Predictive Control And Unscented Kalman Filter For Permanent Magnet Synchronous Motor. Presented at 16th IEEE Conference on Industrial Electronics and Applications (ICIEA 2021), Chengdu, China

• Presentation Conference Type: Edited Proceedings
• Conference Name: 16th IEEE Conference on Industrial Electronics and Applications (ICIEA 2021)
• Start Date: Aug 1, 2021
• End Date: Aug 4, 2021
• Acceptance Date: May 4, 2021
• Online Publication Date: Aug 30, 2021
• Publication Date: Aug 30, 2021
• Deposit Date: Jun 29, 2021
• Publicly Available Date: Aug 30, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 153-159
• Series Title: IEEE Conference on Industrial Electronics and Applications (ICIEA)
• Series ISSN: 2158-2297
• Book Title: 2021 16th IEEE Conference on Industrial Electronics and Applications (ICIEA)
• ISBN: 978-1-6654-2248-2
• DOI: https://doi.org/10.1109/ICIEA51954.2021.9516257.
• Public URL: https://nottingham-repository.worktribe.com/output/5746351
• Publisher URL: https://ieeexplore.ieee.org/document/9516257
• 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.