Engine control input optimization using particle swarm optimization and multi-objective particle swarm optimization

Dongmei Wu, Masatoshi Ogawa, Yichun Yeh, Harutoshi Ogai

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

In order to cope with energy crisis, and emission pollution, an engine with lower pollution burden is appreciated. In this research, diesel engine optimization objectives are formulized on the basis of experiment data. The reduction of brake specific fuel consumption (BSFC), exhaust gas emission, and soot using particle swarm optimization (PSO) and multi-objective particle swarm optimization (MOPSO) is proposed. Optimal results of PSO are obtained and validated by engine test bench. In this paper, MOPSO with three optimization objectives are presented and simulated, these optimal results of MOPSO would also be tested in experiment in the future.

Original languageEnglish
Pages (from-to)33-37
Number of pages5
JournalProceedings of the IASTED International Conference on Modelling, Identification and Control
DOIs
Publication statusPublished - 2010 Jan 1
Event29th IASTED International Conference on Modelling, Identification and Control, MIC 2010 - Innsbruck, Austria
Duration: 2010 Feb 152010 Feb 17

Keywords

  • And engine control inputs
  • MOPSO
  • Optimization
  • PSO

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications

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