More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control
The current trend for future aircraft is the adoption of the More Electric Aircraft (MEA) concept. The electrical based starter-generator (S/G) system is one of the core ideas from the MEA concept. The PI based control scheme has been investigated in various papers for the permanent magnet based S/G...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2016
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| Online Access: | https://eprints.nottingham.ac.uk/38449/ |
| _version_ | 1848795614290116608 |
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| author | Yoeh, Seang Shen Yang, Tao Tarisciotti, Luca Hill, Christopher Ian Bozhko, Serhiy |
| author_facet | Yoeh, Seang Shen Yang, Tao Tarisciotti, Luca Hill, Christopher Ian Bozhko, Serhiy |
| author_sort | Yoeh, Seang Shen |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The current trend for future aircraft is the adoption of the More Electric Aircraft (MEA) concept. The electrical based starter-generator (S/G) system is one of the core ideas from the MEA concept. The PI based control scheme has been investigated in various papers for the permanent magnet based S/G system. Different control schemes are to be considered to improve the control performance of the S/G system. A type of non-linear control called Model Predictive Control (MPC) is considered for its capability to accomplish fast dynamic control performance. The Modulated Model Predictive Control (variant of MPC with an intrinsic modulator) was presented that showed considerably better control performance than the standard MPC. A control scheme is presented in this paper that utilises PI controllers for the outer loop and Modulated Model Predictive Control for the inner loop that covers operation for both starter and generator modes. Simulation analyses are carried out to compare between the proposed control and a full cascaded PI control scheme. The proposed control is also subjected to parameter variation tests for performance evaluation. |
| first_indexed | 2025-11-14T19:34:53Z |
| format | Conference or Workshop Item |
| id | nottingham-38449 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:34:53Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-384492020-05-04T18:12:50Z https://eprints.nottingham.ac.uk/38449/ More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control Yoeh, Seang Shen Yang, Tao Tarisciotti, Luca Hill, Christopher Ian Bozhko, Serhiy The current trend for future aircraft is the adoption of the More Electric Aircraft (MEA) concept. The electrical based starter-generator (S/G) system is one of the core ideas from the MEA concept. The PI based control scheme has been investigated in various papers for the permanent magnet based S/G system. Different control schemes are to be considered to improve the control performance of the S/G system. A type of non-linear control called Model Predictive Control (MPC) is considered for its capability to accomplish fast dynamic control performance. The Modulated Model Predictive Control (variant of MPC with an intrinsic modulator) was presented that showed considerably better control performance than the standard MPC. A control scheme is presented in this paper that utilises PI controllers for the outer loop and Modulated Model Predictive Control for the inner loop that covers operation for both starter and generator modes. Simulation analyses are carried out to compare between the proposed control and a full cascaded PI control scheme. The proposed control is also subjected to parameter variation tests for performance evaluation. 2016-09-10 Conference or Workshop Item PeerReviewed Yoeh, Seang Shen, Yang, Tao, Tarisciotti, Luca, Hill, Christopher Ian and Bozhko, Serhiy (2016) More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control. In: International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and the International Transportation Electrification Conference (ESARS ITEC 2016), 2-4 Nov 2016, Toulouse, France. Model predictive control; Starter generator; More electric aircraft |
| spellingShingle | Model predictive control; Starter generator; More electric aircraft Yoeh, Seang Shen Yang, Tao Tarisciotti, Luca Hill, Christopher Ian Bozhko, Serhiy More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control |
| title | More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control |
| title_full | More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control |
| title_fullStr | More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control |
| title_full_unstemmed | More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control |
| title_short | More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control |
| title_sort | more electric aircraft starter-generator system with utilization of hybrid modulated model predictive control |
| topic | Model predictive control; Starter generator; More electric aircraft |
| url | https://eprints.nottingham.ac.uk/38449/ |