2008•Unpublished venueRequires access

Fuzzy sliding-mode controller for the motion of autonomous underwater vehicle

Xiaocheng Shi, Jiajia Zhou, Xinqian Bian, Juan Li

Open publisher page 18 citations

Abstract

The paper addresses the problems of motion control in autonomous underwater vehicle. It is established a simplified mathematical model of AUV's pitch motion in vertical plane by linearizing the nonlinear model at a specified operating point. A fuzzy sliding-mode controller was designed to control the AUV's pitch motion under the disturbance of ocean current. The computer simulation results showed that the proposed controller was effective in eliminating the effects of modeling uncertainty and external disturbance. The system presented good performances during pitch-tracking and was effective in eliminating system chatting.

About this research paper

What this paper is about

The paper addresses the problems of motion control in autonomous underwater vehicle. It is established a simplified mathematical model of AUV's pitch motion in vertical plane by linearizing the nonlinear model at a specified operating point. A fuzzy sliding-mode controller was designed to control the AUV's pitch motion under the disturbance of ocean current. The computer simulation results showed that the proposed controller was effective in eliminating the effects of modeling uncertainty and external disturbance. The system presented good performances during pitch-tracking and was effective in eliminating system chatting.

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OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper addresses the problems of motion control in autonomous underwater vehicle. It is established a simplified mathematical model of AUV's pitch motion in vertical plane by linearizing the nonlinear model at a specified operating point. A fuzzy sliding-mode controller was designed to control the AUV's pitch motion under the disturbance of ocean current. The computer simulation results showed that the proposed controller was effective in eliminating the effects of modeling uncertainty and external disturbance. The system presented good performances during pitch-tracking and was effective in eliminating system chatting.

Key concepts: Control theory (sociology), Controller (irrigation), Fuzzy logic, Motion control, Nonlinear system, Underwater, Mode (computer interface), Computer science

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