Line-of-Sight Strategy-Based Path-Following System for a Multi-Joint Robotic Fish

被引:0
作者
Dai, Shijie [1 ,2 ]
Zhou, Chao [4 ]
Wu, Zhengxing [1 ,2 ]
Tan, Min [1 ,2 ]
Yu, Junzhi [1 ,2 ,3 ]
机构
[1] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[3] Peking Univ, Coll Engn, Dept Mech & Engn Sci, BIC ESAT,State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
[4] Naval Res Acad, Beijing 100072, Peoples R China
来源
2020 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE-RCAR 2020) | 2020年
基金
中国国家自然科学基金;
关键词
LOCOMOTION;
D O I
10.1109/rcar49640.2020.9303317
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a real-time path-following control system for a multi-joint robotic fish. The mechanical structure and dynamic model of the robotic fish for path-following are first described. Then, the framework of the path-following control algorithm is established based on the built dynamic model, including a modified line-of-sight (LOS) guidance law, an active disturbance rejection control (ADRC)based heading controller and a proportional-integral-derivative (PID)-based speed controller. Specially, the modified LOS strategy is designed to select the tracking points and also provide the desired heading angle. Afterwards, to overcome systematic uncertainties and environmental disturbances, the ADRC method is adopted to design the heading controller. Meanwhile, the ND controller is also developed to maintain an appropriate swimming speed. Finally, simulations in both linear- and circular-path following are presented to validate the effectiveness of the proposed method.
引用
收藏
页码:111 / 116
页数:6
相关论文
共 15 条
[1]   Model Predictive Control-Based Path-Following for Tail-Actuated Robotic Fish [J].
Castano, Maria L. ;
Tan, Xiaobo .
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2019, 141 (07)
[2]  
Hawary F., 2000, The Ocean Engineering Handbook
[3]   Simulation and robotics studies of salamander locomotion - Applying neurobiological principles to the control of locomotion in robots [J].
Ijspeert, AJ ;
Crespi, A ;
Cabelguen, JM .
NEUROINFORMATICS, 2005, 3 (03) :171-195
[4]   Central pattern generators for locomotion control in animals and robots: A review [J].
Ijspeert, Auke Jan .
NEURAL NETWORKS, 2008, 21 (04) :642-653
[5]   Integral Line-of-Sight Guidance for Path Following Control of Underwater Snake Robots: Theory and Experiments [J].
Kelasidi, Eleni ;
Liljeback, Pal ;
Pettersen, Kristin Y. ;
Gravdahl, Jan Tommy .
IEEE TRANSACTIONS ON ROBOTICS, 2017, 33 (03) :610-628
[6]  
Makrodimitris M, 2017, MED C CONTR AUTOMAT, P1119, DOI 10.1109/MED.2017.7984268
[7]   Geometric methods for modeling and control of free-swimming fin-actuated underwater vehicles [J].
Morgansen, Kristi A. ;
Triplett, Benjamin I. ;
Klein, Daniel J. .
IEEE TRANSACTIONS ON ROBOTICS, 2007, 23 (06) :1184-1199
[8]   Path-Following Control of Autonomous Underwater Vehicles Subject to Velocity and Input Constraints via Neurodynamic Optimization [J].
Peng, Zhouhua ;
Wang, Jun ;
Han, Qing-Long .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (11) :8724-8732
[9]   Fish-inspired robots: design, sensing, actuation, and autonomy-a review of research [J].
Raj, Aditi ;
Thakur, Atul .
BIOINSPIRATION & BIOMIMETICS, 2016, 11 (03)
[10]   BCF swimming locomotion for autonomous underwater robots: a review and a novel solution to improve control and efficiency [J].
Scaradozzi, David ;
Palmieri, Giacomo ;
Costa, Daniele ;
Pinelli, Antonio .
OCEAN ENGINEERING, 2017, 130 :437-453