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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

Authors

Seang Shen Yoeh

Tao Yang ezzty@exmail.nottingham.ac.uk

Luca Tarisciotti luca.tarisciotti@nottingham.ac.uk

Christopher Ian Hill ezzcih@exmail.nottingham.ac.uk

Serhiy Bozhko serhiy.bozhko@nottingham.ac.uk



Abstract

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.

Peer Reviewed Peer Reviewed
APA6 Citation Yoeh, S. S., Yang, T., Tarisciotti, L., Hill, C. I., & Bozhko, S. (in press). More electric aircraft starter-generator system with utilization of hybrid modulated model predictive control
Keywords Model predictive control; Starter generator; More
electric aircraft
Related Public URLs http://www.esars-itec.org/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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