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Title: Explicit model predictive control on the air path of turbocharged diesel engines
Authors: Zhao, Dezong
Liu, Cunjia
Stobart, Richard
Deng, Jiamei
Winward, Edward
Issue Date: 2013
Publisher: IEEE (© American Automatic Control Council)
Citation: ZHAO, D. ... et al., 2013. Explicit model predictive control on the air path of turbocharged diesel engines. IN: Proceedings of 2013 American Control Conference, Washington, United States, 17-19 June 2013, pp.5213-5218.
Abstract: The turbocharged diesel engine is a typical multi-input multi-output (MIMO) system with strong couplings, actuator constraints, and fast dynamics. This paper addresses the air path regulation in turbocharged diesel engines using an explicit model predictive control (EMPC) approach, which allows tracking of the time-varying setpoint values generated by the supervisory level controller while satisfying the actuator constraints. The proposed EMPC framework consists of calibration, engine model identification, controller formulation, and state observer design. The proposed EMPC approach has a low computation requirement and is suitable for implementation in the engine control unit (ECU) on board. The experimental results on a turbocharged Cat ® C6.6 diesel engine illustrate that the EMPC controller significantly improves the tracking performance of the exhaust emission variables against the decentralized single-input single-output (SISO) control method.
Description: © 2013 AACC. 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.
Version: Published
DOI: 10.1109/ACC.2013.6580649
URI: https://dspace.lboro.ac.uk/2134/26519
Publisher Link: https://doi.org/10.1109/ACC.2013.6580649
ISBN: 9781479901777
1479901776
9781479901784
1479901784
9781479901760
ISSN: 0743-1619
Appears in Collections:Conference Papers and Presentations (Aeronautical and Automotive Engineering)

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