Robust stabilizing control of nonholonomic systems with uncertainties via adaptive integral sliding mode: An underwater vehicle example. (21st September 2017)

• Record Type: Journal Article
• Authors: Sarfraz, Muhammad; Rehman, Fazal ur; Shah, Ibrahim
• Is Part Of: International journal of advanced robotic systems. Volume 14:Number 5(2017:Sep./Oct.)
• Publication Date: 2017-09-21
• Subjects: Adaptive integral sliding mode -- Lyapunov function -- nonholonomic systems -- autonomous underwater vehicles; Robotics -- Periodicals; Robotics; Periodicals; 629.892
• DOI: 10.1177/1729881417732693
• Languages: English
• ISSNs: 1729-8806

Abstract

This article presents a robust stabilizing control for nonholonomic underwater systems that are affected by uncertainties. The methodology is based on adaptive integral sliding mode control. Firstly, the original underwater system is transformed in a way that the new system has uncertainties in matched form. A change of coordinates is carried out for this purpose, and the nonholonomic system is transformed into chained form system with matched uncertainties. Secondly, the chained form system with uncertainties is transformed into a special structure containing nominal part and some unknown terms through input transformation. The unknown terms are computed adaptively. Afterward, the transformed system is stabilized using integral sliding mode control. The stabilizing controller for the transformed system is constructed which consists of the nominal control plus some compensator control. The compensator controller and the adaptive laws are derived in a way that the derivative of a suitable Lyapunov function becomes strictly negative. Two different cases of perturbation are considered including the bounded uncertainty present in any single control input and the uncertainties present in the overall system model of the underwater vehicle. Finally, simulation results show the validity and correctness of the proposed controllers for both cases of nonholonomic underwater system affected by uncertainties.