Full predictive cascaded speed and current control of an induction machine

Garcia, Cristian, Rodriguez, Jose, Silva, César Armando, Rojas, Christian, Zanchetta, Pericle and Abu-Rub, Haitham (2016) Full predictive cascaded speed and current control of an induction machine. IEEE Transactions on Energy Conversion, 31 (3). pp. 1059-1067. ISSN 0885-8969

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Abstract

This paper presents and experimentally validates a new control scheme for electrical drive systems, named cascaded predictive speed and current control (PSCC). This new strategy uses the model predictive control concept. It has a cascaded structure like that found in field-oriented control or direct torque control. Therefore the control strategy has two loops, external and internal, both implemented with model predictive control. The external loop controls the speed, while the inner loop controls the stator currents. The inner control loop is based on Finite Control Set Model Predictive Control (FCS-MPC), and the external loop uses MPC deadbeat, making full use of the inner loop‘s highly dynamic response. Experimental results show that the proposed strategy has a performance that is comparable to the classical control strategies but that it is overshoot-free and provides a better time response.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/783486
Additional Information: © 2016 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.
Keywords: Model Predictive control, Electric machines, Variable speed drives, Kalman filters
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: 10.1109/TEC.2016.2559940
Depositing User: Burns, Rebecca
Date Deposited: 06 Oct 2016 13:41
Last Modified: 04 May 2020 17:44
URI: https://eprints.nottingham.ac.uk/id/eprint/37391

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