Dr SEANG SHEN YEOH SEANG.YEOH@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
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
Professor TAO YANG TAO.YANG@NOTTINGHAM.AC.UK
PROFESSOR OF AEROSPACE ELECTRICALSYSTEMS
Luca Tariscotti
Christopher Ian Hill
Professor SERHIY BOZHKO serhiy.bozhko@nottingham.ac.uk
PROFESSOR OF AIRCRAFT ELECTRIC POWER SYSTEMS
Pericle Zanchetta
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 | Jul 31, 2017 |
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. |
Contract Date | Jul 31, 2017 |
Files
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(1.7 Mb)
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