Permanent magnet machine based starter-generator system with modulated model predictive control

Yeoh, Seang Shen and Yang, Tao and Tariscotti, Luca and Hill, Christopher Ian and Bozhko, Serhiy and Zanchetta, Pericle (2017) Permanent magnet machine based starter-generator system with modulated model predictive control. IEEE Transactions on Transportation Electrification . ISSN 2332-7782

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Abstract

The paper describes a hybrid control scheme for a permanent magnet machine based starter-generator (S/G) system. There has been increased usage of electric drive systems in the transportation sector for increased efficiency and reduced emissions. One of the advantages of utilising suitable electric drives is the capability to operate as a starter or generator. The control design of such a system should be considered due to the operating requirements and fast load changes. Different control approaches should therefore be considered in order to achieve these goals, which are a current trend in the transportation sector. Model Predictive Control (MPC) is considered due to its very fast dynamic performance. In particular, Modulated Model Predictive Control (M²PC) was recently introduced and showed significantly better performance than the standard MPC. The control scheme used in this paper utilises M²PC for the current inner loop and PI controllers for the outer loop. The use of M²PC allows very fast transient current response for the S/G system. The proposed overall control benefits from reduced current ripple when compared with a full cascaded PI control scheme. Simulation analyses and experimental results show the capability and performance of the designed controller across both starter and generator modes.

Item Type: Article
Additional Information: (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
Keywords: Permanent magnet machine, Starter generator, Model predictive control, Modulated model predictive control
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: 10.1109/TTE.2017.2731626
Depositing User: Eprints, Support
Date Deposited: 31 Jul 2017 10:17
Last Modified: 12 Oct 2017 23:30
URI: http://eprints.nottingham.ac.uk/id/eprint/44507

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