A Direct Model Predictive Control Strategy for High-Performance Synchronous Reluctance Motor Drives

Riccio, Jacopo; Karamanakos, Petros; Odhano, Shafiq; Tang, Mi; Nardo, Mauro Di; Zanchetta, Pericle

Abstract

This paper presents a finite control set model predictive control (FCS-MPC) method that improves the performance of a synchronous reluctance machine drive. As shown, when a high sampling-to-switching frequency ratio is used with FCS-MPC, the stator current distortions can be significantly reduced, allowing for less losses in the machine. Moreover, the FCS-MPC steady-state performance is enhanced by introducing an integrating element into the cost function to ensure accurate output reference tracking. Finally, the adopted drive model that relies on an identified accurate magnetic model of the machine further improves the robustness of the discussed control scheme. The presented simulation and preliminary experimental results verify the effectiveness of the discussed method.

Citation

Riccio, J., Karamanakos, P., Odhano, S., Tang, M., Nardo, M. D., & Zanchetta, P. (2021). A Direct Model Predictive Control Strategy for High-Performance Synchronous Reluctance Motor Drives. In 2021 IEEE Energy Conversion Congress and Exposition (ECCE) (4704-4710). https://doi.org/10.1109/ECCE47101.2021.9595334

• Conference Name: 2021 IEEE Energy Conversion Congress and Exposition (ECCE)
• Conference Location: Vancouver, BC, Canada
• Start Date: Oct 10, 2021
• End Date: Oct 14, 2021
• Acceptance Date: May 1, 2021
• Online Publication Date: Nov 16, 2021
• Publication Date: Oct 10, 2021
• Deposit Date: Feb 17, 2022
• Publicly Available Date: Feb 17, 2022
• Publisher: IEEE
• Pages: 4704-4710
• Book Title: 2021 IEEE Energy Conversion Congress and Exposition (ECCE)
• ISBN: 9781728161280
• DOI: https://doi.org/10.1109/ECCE47101.2021.9595334
• Public URL: https://nottingham-repository.worktribe.com/output/7472068
• Publisher URL: https://ieeexplore-ieee-org.nottingham.idm.oclc.org/document/9595334
• 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.