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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)1,3,4; Wang GQ(王冠群)1,2; Li YP(李一平)1,3; Wang XH(王晓辉)1,3; Qu XY(曲向宇)1,3,4
Department水下机器人研究室
Conference Name11th International Conference on Modelling, Identification and Control, ICMIC 2019
Conference DateJuly 13-15, 2019
Conference PlaceTianjin, China
Source PublicationProceedings of the 11th International Conference on Modelling, Identification and Control, ICMIC 2019
PublisherSpringer
Publication PlaceBerlin
2019
Pages685-695
Indexed ByEI ; CPCI(ISTP)
EI Accession number20195207923948
WOS IDWOS:000612991700064
Contribution Rank1
ISSN1876-1100
ISBN978-981-15-0473-0
KeywordOnline optimization PSO Tent mapping Multi-center collaborative search Online modeling Underwater vehicles
AbstractTo 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/26135
Collection水下机器人研究室
Corresponding AuthorWang GQ(王冠群)
Affiliation1.State Key Lab of Robotics, Shenyang Institute of Automation, CAS, Shenyang 110016, China
2.Chengde Petroleum College, Chengde
3.067000, China
4.Institutes for Robotics and Intelligent Manufacturing, CAS, Shenyang 110016, China
5.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
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]. Berlin:Springer,2019:685-695.
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