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Constrained Model Predictive Control in Nine-phase Induction Motor Drives

Gonzalez-Prieto, I, Zoric, I, Duran, MJ and Levi, E (2019) Constrained Model Predictive Control in Nine-phase Induction Motor Drives. IEEE Transactions on Energy Conversion. ISSN 0885-8969

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The advent of powerful digital signal processors (DSPs) has recently permitted the real-time implementation of model predictive control (MPC) in high-performance electric drives. Nevertheless, the use of MPC together with multiphase systems is increasingly challenging as the number of phases gets higher. On the positive side, the redundancy provided by the extra phases also opens the possibility to further optimize the control action. This work describes the implementation of MPC for nine-phase drives using a three-step approach with an initial discarding of the switching states, a dynamic selection of the voltage vectors using hard constraints (HCs), and an improved performance including soft constraints (SCs). Experimental results confirm the ability of the proposed MPC to highly reduce the computational burden and switching frequency, while maintaining satisfactory steady-state and dynamic performance.

Item Type: Article
Additional Information: © 2019 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.
Uncontrolled Keywords: 0906 Electrical and Electronic Engineering
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Publisher: IEEE
Date Deposited: 16 Jul 2019 10:36
Last Modified: 04 Sep 2021 09:09
DOI or ID number: 10.1109/TEC.2019.2929622
URI: https://researchonline.ljmu.ac.uk/id/eprint/11047
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