A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments
文献类型:期刊论文
作者 | Lv, Jiaqi2,3,4; Wang, Yu2,3; Wang, Shuo1,2,3,4; Bai, Xuejian2,3,4; Wang, Rui2,3; Tan, Min2,3,4 |
刊名 | IEEE-ASME TRANSACTIONS ON MECHATRONICS |
出版日期 | 2022-12-08 |
页码 | 10 |
ISSN号 | 1083-4435 |
关键词 | Arctangent nonsingularity terminal sliding mode (ANTSM) control biomimetic underwater vehicle (BUV) collision-free in dynamic environments fuzzy artificial potential field (FAPF) planning |
DOI | 10.1109/TMECH.2022.3224606 |
通讯作者 | Wang, Yu(yu.wang@ia.ac.cn) |
英文摘要 | In this article, a collision-free planning and control framework for a biomimetic underwater vehicle (BUV) in dynamic environments is presented. It consists of obstacle avoidance planning, arctangent nonsingularity terminal sliding mode (ANTSM) control, and fuzzy inference. A fuzzy artificial potential field with a velocity component is designed for obstacle avoidance planning. An ANTSM controller with an arctangent function is proposed to guarantee a shorter convergence time of system states. The stability of the system is analyzed by the Lyapunov theory. A fuzzy inference module is given to construct the nonlinear relationship between the control parameters of the flippers and force/torque. Finally, comparative simulations, robot operating system-based simulations, and underwater obstacle avoidance experiments of the BUV in a swimming pool are conducted to validate the performance of the proposed collision-free planning and control algorithm. |
WOS关键词 | SLIDING-MODE CONTROL ; ROBOTIC FISH ; OBSTACLE AVOIDANCE ; CONTROL SCHEME ; TRACKING ; SYSTEMS |
资助项目 | Beijing Natural Science Foundation[4222055] ; National Natural Science Foundation of China[62122087] ; National Natural Science Foundation of China[62073316] ; National Natural Science Foundation of China[U1806204] ; National Natural Science Foundation of China[62033013] ; Scientific Research Program of Beijing Municipal Commission of Education-Natural Science Foundation of Beijing[KZ202210017024] ; Beijing Nova Program[Z211100002121152] ; Young Elite Scientist Sponsorship Program by CAST[YESS20210236] |
WOS研究方向 | Automation & Control Systems ; Engineering |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000899992600001 |
资助机构 | Beijing Natural Science Foundation ; National Natural Science Foundation of China ; Scientific Research Program of Beijing Municipal Commission of Education-Natural Science Foundation of Beijing ; Beijing Nova Program ; Young Elite Scientist Sponsorship Program by CAST |
源URL | [http://ir.ia.ac.cn/handle/173211/50988] |
专题 | 智能机器人系统研究 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
通讯作者 | Wang, Yu |
作者单位 | 1.CAS Ctr Excellence Brain Sci & Intelligence Techno, Shanghai 200031, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Lv, Jiaqi,Wang, Yu,Wang, Shuo,et al. A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2022:10. |
APA | Lv, Jiaqi,Wang, Yu,Wang, Shuo,Bai, Xuejian,Wang, Rui,&Tan, Min.(2022).A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments.IEEE-ASME TRANSACTIONS ON MECHATRONICS,10. |
MLA | Lv, Jiaqi,et al."A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments".IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022):10. |
入库方式: OAI收割
来源:自动化研究所
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