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Undulatory locomotion and effective propulsion for fish-inspired robot
- Source :
- Control Engineering Practice. 58:66-77
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Swimming, turning, and whip-sweeping propulsion for carangiform locomotion of a fish robot are investigated by means of a 4-link planar tail and an autonomous underwater vehicle (AUV)-like model. It is observed that excellent acceleration occurs when a whip sweeping behavior has been applied to the fish tail. The forward speed can even increases twice to the nominal swimming via the simulation study. The efficient movement is thus incorporated to the fish robot for agile movement. The robot's swimming patterns realize the effect in terms of the forward swimming, turning swimming, acceleration increasing, descended swimming, ascended swimming, depth regulating, and self-stabilization. Verification is accomplished by incorporating the 4-link planar tail, AUV-like model, and a two degree-of-freedom (DOF) barycenter mechanism. The four-link planar tail and 2-DOF barycenter mechanism act, respectively, as the thrust generator and stabilizing actuator for the fish robot. Sliding mode control (SMC) has been applied for three-dimensional (3D) trajectory tracking. Simulation results illustrate satisfactory performances of the fish robot in terms of the fish-like behaviors and maneuverability, which are due to the consequence of the mimicked predator-fish behaviors and performance robustness of the SMC for trajectory tracking under ocean current perturbations and modeling uncertainties.
- Subjects :
- 0209 industrial biotechnology
Engineering
business.industry
Applied Mathematics
Thrust
02 engineering and technology
Propulsion
Sliding mode control
Computer Science Applications
Acceleration
020901 industrial engineering & automation
Undulatory locomotion
Control and Systems Engineering
Control theory
0202 electrical engineering, electronic engineering, information engineering
Trajectory
Fish locomotion
Robot
020201 artificial intelligence & image processing
Electrical and Electronic Engineering
business
Simulation
Subjects
Details
- ISSN :
- 09670661
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- Control Engineering Practice
- Accession number :
- edsair.doi...........a34830c44949ad82e81e343aeda8b65e
- Full Text :
- https://doi.org/10.1016/j.conengprac.2016.09.007