Three-Dimensional Modeling of a Robotic Fish Based on Real Carp Locomotion

被引:27
作者
Koca, Gonca Ozmen [1 ]
Bal, Cafer [1 ]
Korkmaz, Deniz [2 ]
Bingol, Mustafa Can [1 ]
Ay, Mustafa [1 ]
Akpolat, Zuhtu Hakan [1 ]
Yetkin, Seda [3 ]
机构
[1] Firat Univ, Dept Mechatron Engn, TR-23119 Elazig, Turkey
[2] Firat Univ, Dept Elect & Elect Engn, TR-23119 Elazig, Turkey
[3] Univ Bitlis Eren, Dept Elect & Automat, TR-13000 Bitlis, Turkey
来源
APPLIED SCIENCES-BASEL | 2018年 / 8卷 / 02期
关键词
dynamic model; robotic fish; trajectory tracking; biomimetic modeling; fish-like motion; TRACKING; MOTION; OPTIMIZATION; KINEMATICS; MECHANISM;
D O I
10.3390/app8020180
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This work focuses on developing a complete non-linear dynamic model comprising entirely kinematic and hydrodynamic effects of Carangiform locomotion based on the Lagrange approach by adapting the parameters and behaviors of a real carp. In order to imitate biological features, swimming patterns of a real carp for forward, turning and up-down motions are analyzed by using the Kineova 8.20 software. The proportional optimum link lengths according to actual size, swimming speed, flapping frequency, proportional physical parameters and different swimming motions of the real carp are investigated with the designed robotic fish model. Three-dimensional (3D) locomotion is evaluated by tracking two trajectories in a MATLAB environment. A Reaching Law Control (RLC) approach for inner loop (Euler angles-speed control) and a guidance system for the outer loop (orientation control) are proposed to provide an effective closed-loop control performance. In order to illustrate the 3D performance of the proposed closed loop control system in a virtual reality platform, the designed robotic fish model is also implemented using the Virtual Reality Modeling Language (VRML). Simulation and experimental analysis show that the proposed model gives us significant key solutions to design a fish-like robotic prototype.
引用
收藏
页数:23
相关论文
共 38 条
[1]  
Akpolat ZH, 2003, ELECTR ENG, V85, P205, DOI 10.1007/S00202-003-0166-6
[2]   Discrete time adaptive reaching law speed control of electrical drives [J].
Akpolat, ZH ;
Gokbulut, M .
ELECTRICAL ENGINEERING, 2003, 85 (01) :53-58
[3]  
Bal C, 2016, 2016 21ST INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), P189, DOI 10.1109/MMAR.2016.7575131
[4]  
Chowdhury A. R., 2011, 2011 Proceedings of IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2011), P226, DOI 10.1109/SSRR.2011.6106768
[5]  
Ding R., 2011, IFAC P VOLUMES, V44, P9367, DOI DOI 10.3182/20110828-6-IT-1002.01292
[6]   DISCRETE-TIME VARIABLE-STRUCTURE CONTROL-SYSTEMS [J].
GAO, WB ;
WANG, YF ;
HOMAIFA, A .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1995, 42 (02) :117-122
[7]   Vision-Based Target Tracking and Collision Avoidance for Two Autonomous Robotic Fish [J].
Hu, Yonghui ;
Zhao, Wei ;
Wang, Long .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (05) :1401-1410
[8]   Central pattern generators for locomotion control in animals and robots: A review [J].
Ijspeert, Auke Jan .
NEURAL NETWORKS, 2008, 21 (04) :642-653
[9]  
Johns E, 2011, IEEE INT CONF ROBOT, P1032, DOI [10.1109/ROBIO.2011.6181603, 10.1109/ICRA.2011.5980205]
[10]   A study on the motion mechanism of articulated fish robot [J].
Kim, HyoungSeok ;
Lee, ByungRyong ;
Kim, RakJin .
2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, :485-490