A modulated model predictive control scheme for the brushless doubly-fed induction machine

Li, Xuan, Peng, Tao, Dan, Hanbing, Zhang, Guanguan, Tang, Weiyi and Wheeler, Patrick (2017) A modulated model predictive control scheme for the brushless doubly-fed induction machine. In: IEEE Energy Conversion Congress and Exposition (ECCE) 2017, 1- 5 October 2017, Cincinnatti, OH, USA.

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Abstract

This paper proposes a modulated model predictive control (MMPC) algorithm for a brushless double-fed induction machine. The Brushless Doubly-Fed Induction Machine has some important advantages over alternative solutions for brushless machine applications. The proposed modulation technique achieves a fixed switching frequency, which gives good system performance. The paper examines the design and implementation of the modulation technique and simulation results verify the operation of the proposed modulation technique.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/886175
Additional Information: © 2017 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: Brushless doubly-fed induction machine; Modulated model predictive control
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
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Depositing User: Burns, Rebecca
Date Deposited: 21 Mar 2018 14:09
Last Modified: 04 May 2020 19:10
URI: https://eprints.nottingham.ac.uk/id/eprint/50567

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