Obstacle Avoidance Control Strategy of a Biomimetic Wire-driven Robot Fish

Abstract

Fish has attracted the attentions of researchers because of its excellent swimming performance in water, and biomimetic robot fish was then developed. For robot fish, it is quite significant to perceive its surroundings and then take actions automatically due to the unexpected obstacles. In this paper, a wire-driven robot fish, which can detect obstacles, is designed. We adopt Central Pattern Generator (CPG) for motion control of the robot fish which is capable for smooth transitions among different swimming modes. Moreover, an obstacle avoidance control strategy based on a rule base and a closed loop control structure based on PID algorithm are proposed, which can improve the robot fish’s perception and reaction abilities to the surrounding environment. Finally, experiments are carried out to examine the feasibility of the proposed control strategy.