Title :
Three-dimensional spiral tracking control for gliding robotic fish
Author :
Feitian Zhang ; Xiaobo Tan
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
Three-dimensional curve tracking is an important and challenging research topic for autonomous underwater vehicles and robots. In this paper we consider the tracking control of gliding robotic fish, a new type of energy-efficient and highly maneuverable robots representing a hybrid of underwater gliders and robotic fish; in particular, buoyancy-driven gliding with a deflected tail results in efficient spiral maneuvers. We propose to decompose a space curve into continuously evolving spirals from the viewpoint of differential geometry, and then utilize the spiral trajectory characteristics for three-dimensional curve tracking. Due to the nonlinear dynamics and strong coupling among multiple control inputs, the design of controller is highly demanding. A novel two degree-of-freedom (DOF) tracking control strategy is proposed, which consists of a feedforward inverse controller and a robust H∞ controller designed based on linearized dynamics. Simulation results are presented to demonstrate the effectiveness of the proposed two-DOF control scheme, in comparison with a PI controller and a pure feedforward inverse controller.
Keywords :
H∞ control; autonomous underwater vehicles; biomimetics; control system synthesis; differential geometry; feedforward; mobile robots; robust control; 3D curve tracking; 3D spiral tracking control; DOF tracking control strategy; PI controller; autonomous underwater vehicles; buoyancy-driven gliding; degree-of-freedom tracking control strategy; differential geometry; feedforward inverse controller; gliding robotic fish; highly maneuverable robots; linearized dynamics; nonlinear dynamics; robust H∞ controller design; space curve; spiral maneuvers; spiral trajectory characteristics; underwater gliders; Feedforward neural networks; Force; Hydrodynamics; Robots; Spirals; Tracking; Trajectory;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040224