DocumentCode :
2918651
Title :
Coupled, non-linear control system design for autonomous underwater vehicle (AUV)
Author :
Santhakumar, M. ; Asokan, T.
Author_Institution :
Dept. of Eng. Design, Indian Inst. of Technol. Madras, Chennai
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
2309
Lastpage :
2313
Abstract :
Modern developments in the fields of control, sensing, and communication have made increasingly complex and dedicated underwater robot systems a reality. Used in a highly hazardous and unknown environment, the autonomy and dynamics of the robots is the key to mission success. Though the dynamics of underwater vehicle system is highly coupled and non linear in nature, decoupled control system strategy is widely used for practical applications. As autonomous underwater vehicles need intelligent control systems, it is necessary to develop control systems that really take into account the coupled and non-linear characteristics of the system. In this paper, we propose a control system with a nonlinear control strategy that takes into account the above factors. So far, AUV dynamics has often been derived under various assumptions on the motion of the vehicle. However, such assumptions may induce large modelling errors and may cause severe control problems in many practical applications. We propose to use both Lyapunov and state space back stepping based non linear control to overcome the modelling errors. The strategy will be tested through simulations for a flat-fish type AUV. Basic controller design and the simulation results will be discussed in the paper. A comparison of the results for conventional method and the proposed method will also be presented.
Keywords :
Lyapunov methods; control system synthesis; error statistics; intelligent robots; mobile robots; nonlinear control systems; remotely operated vehicles; robot dynamics; state-space methods; underwater vehicles; AUV; Lyapunov method; autonomous underwater vehicle; coupled nonlinear control system design; decoupled control system; intelligent control system; modelling error; robot dynamics; state space back stepping method; underwater robot system; Communication system control; Control systems; Error correction; Intelligent control; Nonlinear control systems; Nonlinear dynamical systems; Robot sensing systems; Underwater communication; Underwater vehicles; Vehicle dynamics; AUV; Lyapunov; dynamics; nonlinear control; state space control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
Type :
conf
DOI :
10.1109/ICARCV.2008.4795893
Filename :
4795893
Link To Document :
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