Fractional-order sliding mode control synthesis of supercavitating underwater vehicles

Author:

Phuc Bui Duc Hong1,Phung Viet-Duc2,You Sam-Sang3ORCID,Do Ton Duc4

Affiliation:

1. School of Intelligent Mechatronics Engineering, Sejong University, Republic of Korea

2. Viet-Duc Phung Future Materials and Devices Laboratory, Institute of Fundamental and Applied Sciences, Duy Tan University, Vietnam

3. Division of Mechanical Engineering, Korea Maritime and Ocean University, Republic of Korea

4. Department of Robotics and Mechatronics, School of Science and Technology (SST), Nazarbayev University, Republic of Kazakhstan

Abstract

A high-speed supercavitating vehicle is a future underwater vehicle which exploits the supercavitating propulsion technology providing a promising way to increase the vehicle speed. Robust control challenges include complex vehicle maneuvering dynamics caused by factors such as undesired switching, delayed state dependency, and nonlinearities. As effective and applicable controllers, a novel fractional-order sliding mode controller is proposed to robustly control the uncertain high-speed supercavitating vehicle system against external disturbances. The control scheme uses sliding mode control and can produce better control actions than conventional the integer-order counterpart. In this algorithm, the fractional calculus is applied to calculate the noninteger integral or derivative in the sliding mode control algorithm, providing new capabilities for uncertain high-speed supercavitating vehicle control in seeking to operate the underwater vehicle better. The performance of the proposed fractional-order sliding mode controller has been proven through analytic simulation results, which show fast responses with smooth control actions and the ability to deal with nonlinear planing force and external disturbance. One of the interesting features of the fractional-order control system is the time convergence rate of the sliding variable vector, which is greatly improved compared with the integer-order sliding mode control. Finally, the robust control system with a novel fractional-order sliding mode controller algorithm, using high flexibility of controlling undersea vehicles, can provide superior dynamical performance with stability compared with its integer-order counterpart against system uncertainties and disturbances.

Funder

Sejong University

Publisher

SAGE Publications

Subject

Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science

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