A Multi-Center PSO Algorithm with Memory Ability and Its Application to the Online Modelling of an Underwater Vehicle Thruster

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 水下机器人研究室

	A Multi-Center PSO Algorithm with Memory Ability and Its Application to the Online Modelling of an Underwater Vehicle Thruster
	Xu GF(徐高飞)2,3,5 ; Wang GQ(王冠群)4,5 ; Li YP(李一平)3,5 ; Wang XH(王晓辉)3,5 ; Qu XY(曲向宇)2,3,5
	2019
会议日期	July 13-15, 2019
会议地点	Tianjin, China
关键词	Online optimization PSO Tent mapping Multi-center collaborative search Online modeling Underwater vehicles
页码	685-695
英文摘要	To improve the performance of Particle swarm optimization (PSO) in online optimization problems, a multi-center PSO algorithm with memory ability was proposed. Main strategies of the proposed algorithm include the initial population optimization based on historical optimal solution and improved chaos mapping and the multi-center collaborative search. To verify online optimization performance, the proposed algorithm is applied to the online modelling process of an underwater vehicle thruster to optimize the modeling parameters. Result proves the superiority of the proposed algorithm in online optimization problem.
产权排序	1
会议录	Proceedings of the 11th International Conference on Modelling, Identification and Control, ICMIC 2019
会议录出版者	Springer
会议录出版地	Berlin
语种	英语
ISSN号	1876-1100
ISBN号	978-981-15-0473-0
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/26135]
专题	沈阳自动化研究所_水下机器人研究室
通讯作者	Wang GQ(王冠群)
作者单位	1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Institutes for Robotics and Intelligent Manufacturing, CAS, Shenyang 110016, China 3.067000, China 4.Chengde Petroleum College, Chengde 5.State Key Lab of Robotics, Shenyang Institute of Automation, CAS, Shenyang 110016, China
推荐引用方式 GB/T 7714	Xu GF,Wang GQ,Li YP,et al. A Multi-Center PSO Algorithm with Memory Ability and Its Application to the Online Modelling of an Underwater Vehicle Thruster[C]. 见:. Tianjin, China. July 13-15, 2019.