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

Dongmei Wu; Masatoshi Ogawa; Yichun Yeh; Harutoshi Ogai

doi:10.2316/p.2010.675-093

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

Dongmei Wu^*, Masatoshi Ogawa, Yichun Yeh, Harutoshi Ogai

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	33-37
Number of pages	5
Journal	Proceedings of the IASTED International Conference on Modelling, Identification and Control
DOIs	https://doi.org/10.2316/p.2010.675-093
Publication status	Published - 2010 Jan 1
Event	29th IASTED International Conference on Modelling, Identification and Control, MIC 2010 - Innsbruck, Austria Duration: 2010 Feb 15 → 2010 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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10.2316/p.2010.675-093

Cite this

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title = "Engine control input optimization using particle swarm optimization and multi-objective particle swarm optimization",

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.",

keywords = "And engine control inputs, MOPSO, Optimization, PSO",

author = "Dongmei Wu and Masatoshi Ogawa and Yichun Yeh and Harutoshi Ogai",

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doi = "10.2316/p.2010.675-093",

language = "English",

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journal = "Proceedings of the IASTED International Conference on Modelling, Identification and Control",

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T1 - Engine control input optimization using particle swarm optimization and multi-objective particle swarm optimization

AU - Wu, Dongmei

AU - Ogawa, Masatoshi

AU - Yeh, Yichun

AU - Ogai, Harutoshi

PY - 2010/1/1

Y1 - 2010/1/1

N2 - 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.

AB - 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.

KW - And engine control inputs

KW - MOPSO

KW - Optimization

KW - PSO

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JO - Proceedings of the IASTED International Conference on Modelling, Identification and Control

JF - Proceedings of the IASTED International Conference on Modelling, Identification and Control

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Y2 - 15 February 2010 through 17 February 2010

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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