Cooperative Target Enclosing of Ring-Networked Underactuated Autonomous Surface Vehicles Based on Data-Driven Fuzzy Predictors and Extended State Observers

• Published in: IEEE transactions on fuzzy systems Vol. 30; no. 7; pp. 2515 - 2528
• Main Authors: Jiang, Yue, Peng, Zhouhua, Wang, Dan, Yin, Yong, Han, Qing-Long
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Autonomous surface vehicle (ASV); Control methods; Control theory; Cooperative control; cooperative target enclosing; data-driven control; extended state observer (ESO); Feedback control; Fuzzy control; Fuzzy logic; fuzzy logic system (FLS); Kinematics; Kinetic theory; Kinetics; Maneuvering targets; Marine vehicles; Moving targets; Observers; Sea measurements; Sea surface; Sideslip; State observers; Surface vehicles
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2021.3087920

This article addresses the cooperative target enclosing problem of ring-networked underactuated autonomous surface vehicles (ASVs). The target velocity is unavailable, and the ASVs are subject to sideslip effects, unknown control gains, and uncertain kinetics. The control objective is to drive a fleet of ASVs to surround a moving target at a desired range and maintain a spaced formation. An integrated distributed guidance and model-free control method is presented based on extended state observers (ESOs) and a data-driven fuzzy predictor. Specifically, by using two ESOs to estimate the unknown relative kinematics induced by the unknown target velocity and unknown sideslip and a distributed target estimator to recover the target position, intermediate range keeping and phase keeping guidance laws are designed to achieve a circular motion and an evenly spaced formation, respectively. Next, a model-free fuzzy control law is developed based on a data-driven fuzzy predictor, which learns the unknown control gains and uncertain kinetics simultaneously. Finally, the closed-loop control system is proven to be input-to-state stable through Lyapunov analysis. The salient feature of the proposed method is that cooperative circumnavigating a maneuvering target with unknown velocity can be achieved without the global target information and knowledge of vehicle kinetics. Simulation results validate the effectiveness of the proposed distributed guidance and control method for cooperative target enclosing of ASVs.