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Backstepping Based Adaptive Region Tracking Fault Tolerant Control for Autonomous Underwater Vehicles

Published online by Cambridge University Press:  04 July 2016

Mingjun Zhang ,
Xing Liu Open the ORCID record for Xing Liu [Opens in a new window]  and
Fei Wang
Mingjun Zhang
Affiliation:
(College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China)
Xing Liu*
Affiliation:
(College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China)
Fei Wang
Affiliation:
(College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China)
*
(E-mail: liuxing20080724@gmail.com)
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Abstract

A region tracking fault tolerant control approach based on backstepping technique is proposed for Autonomous Underwater Vehicles (AUV). The proposed approach aims at driving tracking error to reach into the desired region in presence of ocean current disturbance, modelling uncertainty, unknown thruster faults and thruster amplitude and rate saturation constraints. At first, a type of piecewise and differential Lyapunov function is constructed to achieve region tracking control in the frame of backstepping technique. Then, the paper analyses and acquires the bound structures of the lumped uncertainty (including ocean current disturbance and model uncertainty) and the variation of thruster distribution matrix caused by unknown thruster faults, respectively. An adaptive technique is used to estimate the unknown coefficients in the above bound structures. In addition, an adaptive adjustment scheme for the desired trajectory is developed to achieve region tracking control with thruster amplitude and rate saturation constraints. The stability of the closed-loop system is analysed based on Barbalat's lemma. Finally, simulations and pool-experiments are presented to illustrate the effectiveness of the proposed method.

Keywords

Autonomous underwater vehicleRegion trackingFault tolerant controlThruster amplitude and rate saturation constraints

Information

Type
Research Article
Information
The Journal of Navigation , Volume 70 , Issue 1 , January 2017 , pp. 184 - 204
Copyright
Copyright © The Royal Institute of Navigation 2016 

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