Title :
A fuzzy controller for underwater vehicle-manipulator systems
Author :
Xu, Bin ; Sakagami, Norimitsu ; Pandian, Shunmugham R. ; Petry, Fred
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tulane Univ., New Orleans, LA
Abstract :
In this paper, a fuzzy logic controller is proposed for trajectory tracking of underwater-manipulator systems (UVMS). The controller is designed based on VD control method with gain tuning based on the fuzzy logic heuristics. The proposed fuzzy controller has the advantages that it does not require a model of the vehicle/manipulator system dynamics, and ensures robust performance in the presence of disturbances and dynamic interactions. In order to validate the effectiveness of the proposed controller, several simulations using a five degree of freedom UVMS are presented. The results show that the new controller provides robust performance of trajectory tracking in the presence of uncertainties about the dynamics and the hydrodynamic disturbances
Keywords :
control system synthesis; fuzzy control; manipulator dynamics; oceanographic equipment; position control; robust control; underwater vehicles; controller design; fuzzy logic controller; fuzzy logic heuristics; gain tuning; hydrodynamic disturbances; robust control; trajectory tracking; underwater vehicle-manipulator systems; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Manipulator dynamics; Robust control; Trajectory; Underwater tracking; Vehicle dynamics; Vehicles;
Conference_Titel :
OCEANS, 2005. Proceedings of MTS/IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-933957-34-3
DOI :
10.1109/OCEANS.2005.1639905