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

Yeoh, Seang Shen; Yang, Tao; Tariscotti, Luca; Hill, Christopher Ian; Bozhko, Serhiy; Zanchetta, Pericle

Authors

TAO YANG TAO.YANG@NOTTINGHAM.AC.UK
Associate Professor

Luca Tariscotti

Christopher Ian Hill

SERHIY BOZHKO serhiy.bozhko@nottingham.ac.uk
Professor of Aircraft Electric Power Systems



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.

Citation

Yeoh, S. S., Yang, T., Tariscotti, L., Hill, C. I., Bozhko, S., & Zanchetta, P. (in press). Permanent magnet machine based starter-generator system with modulated model predictive control. IEEE Transactions on Transportation Electrification, https://doi.org/10.1109/TTE.2017.2731626

Journal Article Type Article
Acceptance Date Jul 8, 2017
Online Publication Date Jul 24, 2017
Deposit Date Jul 31, 2017
Publicly Available Date Mar 28, 2024
Journal IEEE Transactions on Transportation Electrification
Electronic ISSN 2332-7782
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/TTE.2017.2731626
Keywords Permanent magnet machine, Starter generator, Model predictive control, Modulated model predictive control
Public URL https://nottingham-repository.worktribe.com/output/874121
Publisher URL http://ieeexplore.ieee.org/document/7990264/
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.

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