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Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine

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Author

Summary, in English

Traditionally, diesel engine control has had to rely on indirect feedback variables and empirical open-loop maps because direct measurements of the variables representing high-level objectives, such as emissions, have not been available in production engines. With new sensors being developed, the opportunity opens to design the controller directly based on high-level objectives. In this paper, we propose to use model predictive control as a systematic way to go directly from high-level specifications to a control algorithm. The controller uses four actuator variables and five measured variables and is based on a model obtained through system identification. Experimental results on a six-cylinder heavy-duty engine around a fixed operating point demonstrate the potential of the control scheme.

Publishing year

2010

Language

English

Pages

131-136

Publication/Series

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volume

43

Issue

7

Document type

Journal article

Publisher

IFAC Secretariat

Topic

  • Other Mechanical Engineering
  • Control Engineering

Keywords

  • MPC
  • MIMO
  • Diesel Engine

Status

Published

Project

  • Diesel HCCI in a Multi-Cylinder Engine

Research group

  • LCCC

ISBN/ISSN/Other

  • ISSN: 2405-8963