Predictive Torque Control with Fixed Switching Frequency for Induction Motor Drives

Riveros, Jose A.; Rivera, Marco; Rodriguez, Consuelo; Galea, Michael; Buticchi, Giampaolo; Wheeler, Patrick

Abstract

Predictive torque control is one of the most considered high-performance methods for variable-speed applications. This scheme is characterised by a flexible architecture that provides a fast torque/flux response, while its operation reports variable switching frequency as one of the main issues. This work presents a redesigned technique to overcome the described drawback. The strategy applies two active voltage space vectors with an appropriate sequence at every sampling period to produce a constant number of commutations. The dwell times are computed with the conventional cost function and a novel optimisation process to obtain the proper switching combination. Simulation tests at transient- and steady-state demonstrate the quick dynamic response of this proposal, whereas a performance comparison respect to the conventional implementation illustrates the achieved enhancements and mitigation trade-off.

Citation

Riveros, J. A., Rivera, M., Rodriguez, C., Galea, M., Buticchi, G., & Wheeler, P. (2020, February). Predictive Torque Control with Fixed Switching Frequency for Induction Motor Drives. Presented at IEEE International Conference on Industrial Technology (ICIT 2020), Buenos Aires, Argentina

• Presentation Conference Type: Edited Proceedings
• Conference Name: IEEE International Conference on Industrial Technology (ICIT 2020)
• Start Date: Feb 26, 2020
• End Date: Feb 28, 2020
• Acceptance Date: Nov 15, 2019
• Online Publication Date: Apr 16, 2020
• Publication Date: 2020-02
• Deposit Date: Jul 24, 2020
• Publicly Available Date: Jul 27, 2020
• Pages: 211-216
• Series ISSN: 2643-2978
• Book Title: Proceedings: 2020 IEEE International Conference on Industrial Technology (ICIT)
• ISBN: 978-1-7281-5755-9
• DOI: https://doi.org/10.1109/ICIT45562.2020.9067232
• Public URL: https://nottingham-repository.worktribe.com/output/4785654
• Publisher URL: https://ieeexplore-ieee-org.ezproxy.nottingham.ac.uk/document/9067232
• Additional Information: © 2020 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.