Direct Data-Driven Control of Internal Combustion Engine Test Benches using Closed-Loop Experiments

Thomas Ernst Passenbrunner, Simone Formentin, Sergio Savaresi, Luigi Del Re

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

This paper proposes a direct data-driven design approach for multivariable control of rotational speed and torque dynamics in a dynamic internal combustion engine test bench. The controller parameters are directly identified from data using a suitably extended version of the algorithm introduced in [1], allowing closed-loop experiments to be employed. The proposed controller is designed and validated using an accurate simulator of the internal combustion engine test bench on which a comparison with other model-based control strategies is also shown.
Original languageEnglish
Title of host publicationProceedings of the 51st IEEE Conference on Decision and Control
Number of pages6
Publication statusPublished - Dec 2012

Fields of science

  • 203 Mechanical Engineering
  • 202034 Control engineering
  • 202012 Electrical measurement technology
  • 206 Medical Engineering
  • 202027 Mechatronics
  • 202003 Automation
  • 203027 Internal combustion engines
  • 207109 Pollutant emission

JKU Focus areas

  • Mechatronics and Information Processing

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