Analytical control design for a biomimetic robotic fish
Jian-Xin Xu, Xuelei Niu
- Year
- 2011
- Citations
- 12
Abstract
In this paper, the modeling and control of a biomimetic robotic fish is presented. The Anguilliform robotic fish consists of N links and N−1 joints, and the driving forces are the torques applied to the joints. Considering kinematic constraints, Lagrangian formulation is used to obtain the dynamics of the fish model. The computed torque method is applied, which can provide satisfactory tracking responses for fish joints. Since this robotic fish is essentially an underactuated system, the reference trajectories for the orientation of the N links are planned in such a way that, at a neighborhood of the equilibrium point, the tracking task of N links can be achieved by using N − 1 joint torques. A four-link robotic fish is modeled and simulated, and the results validate the effectiveness of the controller and reference planning.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991