中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Control and Optimization of a Bionic Robotic Fish Through a Combination of CPG model and PSO

文献类型:期刊论文

作者Wang, Ming1; Dong, Huifang1; Li, Xu1; Zhang, Yanlu1; Yu, Junzhi2,3
刊名NEUROCOMPUTING
出版日期2019-04-14
卷号337页码:144-152
关键词Central pattern generator (CPG) Motion optimization Bionic robotic fish Dynamic modeling PSO
ISSN号0925-2312
DOI10.1016/j.neucom.2019.01.062
通讯作者Yu, Junzhi(junzhi.yu@ia.ac.cn)
英文摘要Swimming speed and propulsive efficiency are critical indicators of a self-propelled bionic robotic fish in terms of swimming performance. This paper is devoted to achieving a maximum swimming speed and a higher propulsive efficiency for a four-joint robotic fish. A Newton-Euler method based dynamic model in conjunction with a central pattern generator (CPG) network serves to theoretically estimate fish-like swimming performance. In particular, each CPG unit based on limit cycles serves to drive one joint of the robotic fish. The overall CPG model is able to generate rhythmic signals for multimode swimming. To obtain the maximum average speed, a particle swarm optimization (PSO) algorithm is further utilized to optimize the feature parameters of the CPG model. Furthermore, the higher propulsive efficiency is sought within the same control framework. Simulations and experiments on the actual robotic fish demonstrate the improved propulsive performance and the effectiveness of the proposed control framework. (C) 2019 Elsevier B.V. All rights reserved.
WOS关键词DESIGN
资助项目National Natural Science Foundation of China[61573226] ; National Natural Science Foundation of China[61725305] ; National Natural Science Foundation of China[61633017] ; Beijing Natural Science Foundation[4161002]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000461165400012
出版者ELSEVIER SCIENCE BV
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/24982]  
专题自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者Yu, Junzhi
作者单位1.Shandong Jianzhu Univ, Sch Informat & Elect Engn, Jinan 250101, Shandong, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Peking Univ, Beijing Innovat Ctr Engn Sci & Adv Technol, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Wang, Ming,Dong, Huifang,Li, Xu,et al. Control and Optimization of a Bionic Robotic Fish Through a Combination of CPG model and PSO[J]. NEUROCOMPUTING,2019,337:144-152.
APA Wang, Ming,Dong, Huifang,Li, Xu,Zhang, Yanlu,&Yu, Junzhi.(2019).Control and Optimization of a Bionic Robotic Fish Through a Combination of CPG model and PSO.NEUROCOMPUTING,337,144-152.
MLA Wang, Ming,et al."Control and Optimization of a Bionic Robotic Fish Through a Combination of CPG model and PSO".NEUROCOMPUTING 337(2019):144-152.

入库方式: OAI收割

来源:自动化研究所

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