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Predictive control for air fuel ratio based on adaptive expand particle swarm optimization

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成果类型:
期刊论文、会议论文
作者:
Hou Zhi-xiang*;Wu Yi-hu
通讯作者:
Hou Zhi-xiang
作者机构:
[Hou Zhi-xiang; Wu Yi-hu] Changsha Univ Sci & Technol, Changsha 410076, Peoples R China.
通讯机构:
[Hou Zhi-xiang] C
Changsha Univ Sci & Technol, Changsha 410076, Peoples R China.
语种:
中文
关键词:
Air fuel ratio;Neural networks;Particle swarm optimization;Predictive control;Stability
期刊:
Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
年:
2008
页码:
705-709
会议名称:
7th World Congress on Intelligent Control and Automation
会议时间:
JUN 25-27, 2008
会议地点:
Chongqing, PEOPLES R CHINA
会议主办单位:
[Hou Zhi-xiang;Wu Yi-hu] Changsha Univ Sci & Technol, Changsha 410076, Peoples R China.
会议赞助商:
Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-4244-2113-8
机构署名:
本校为第一且通讯机构
摘要:
Because the oxygen sensor is installed into the vent-pipe of gasoline engine, the air fuel ratio signal of gasoline engine exists transmission delay, which affects the control accuracy of air fuel ratio if using directive air fuel ratio sensor signal. To overcome air fuel ratio transmission delay affection, a new air fuel ratio predictive control method was provided using adaptive expanded particle optimization in this paper. Particle is refreshed using individual and local extremum in the basic PSO algorithm. To improve the global convergence, Particle is refreshed by multi-particle strategy;...

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