Gait generation and sliding mode control design for anguilliform biomimetic robotic fish
Jian‐Xin Xu, Xuelei Niu
- 发表年份
- 2011
- 引用次数
- 4
摘要
In this paper, different locomotion patterns design and measures to resist parameter uncertainties are presented for a biomimetic robotic fish. The Anguilliform robotic fish consists of N links and N - 1 joints, and its dynamic model is given in previous work [1]. Using this model, three major gaits of Anguilliform fish-forward moving, backward moving and turning-are investigated. We find that by giving different reference angles of joints, such as adding reversed phase difference, or adding deflections to the original reference angles, the fish exhibits different locomotion patterns. Furthermore, we adopt sliding mode control (SMC) to attenuate the impact from parameter uncertainties. Results of numerical examples validate the effectiveness of SMC. Comparison of those results shows that SMC works better than traditional computed torque control when performing the tracking task in joint space.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002