Direct flux and current vector control for induction motor drives using model predictive control theory

Odhano, Shafiq and Bojoi, Radu and Formentini, Andrea and Zanchetta, Pericle and Tenconi, Alberto (2017) Direct flux and current vector control for induction motor drives using model predictive control theory. IET Electric Power Applications, 11 (8). pp. 1483-1491. ISSN 1751-8679

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Abstract

The study presents the direct flux and current vector control of an induction motor (IM) drive, which is a relatively newer and promising control strategy, through the use of model predictive control (MPC) techniques. The results highlight that the fast flux control nature of direct flux control strategy is further enhanced by MPC. Predictive control is applied in two of its variants, namely the finite control set and modulated MPC, and the advantages and limitations of the two are underlined. This work also highlights, through experimental results, the importance of prioritising the flux part of the cost function which is particularly significant in the case of an IM drive. The performance of the MPC-based approach is compared with the proportional-integral controller, which also prioritises the flux control loop, under various operating regions of the drive such as in the flux-weakening regime. Simulations show the performance expected with different control strategies which is then verified through experiments.

Item Type: Article
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Electric Power Applications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
Keywords: induction motor drives, machine theory, machine vector control, predictive control
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: 10.1049/iet-epa.2016.0872
Related URLs:
Depositing User: Eprints, Support
Date Deposited: 11 Oct 2017 12:01
Last Modified: 15 Oct 2017 07:24
URI: http://eprints.nottingham.ac.uk/id/eprint/47189

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