Autonomous Trajectory Tracking and Collision Avoidance Design for Unmanned Surface Vessels: A Nonlinear Fuzzy Approach

Yung-Yue Chen () and Ming-Zhen Ellis-Tiew
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Yung-Yue Chen: Department of Systems and Naval Mechatronic Engineering, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan
Ming-Zhen Ellis-Tiew: Department of Systems and Naval Mechatronic Engineering, National Cheng Kung University, No. 1, University Road, Tainan 701, Taiwan

Mathematics, 2023, vol. 11, issue 17, 1-17

Abstract: An intelligent fuzzy-based control system that consists of several subsystems—a fuzzy collision evaluator, a fuzzy collision avoidance acting timing indicator, a collision-free trajectory generator, and a nonlinear adaptive fuzzy robust control law—is proposed for the collision-free condition and trajectory tracking of unmanned surface vessels (USVs). For the purpose of ensuring that controlled USVs are capable of executing tasks in an actual ocean environment that is full of randomly encountered ships under collision-free conditions, the real-time decision making and the desired trajectory arrangements of this proposed control system were developed by following the “Convention on the International Regulations for Preventing Collisions at Sea” (COLREGs). From the simulation results, several promising properties were demonstrated: (1) robustness with respect to modeling uncertainties and ocean environmental disturbances, (2) a precise trajectory tracking ability, and (3) sailing collision avoidance was shown by this proposed system for controlled USVs.

Keywords: intelligent unmanned surface vessel; fuzzy-based ship collision avoidance system; nonlinear fuzzy robust control law (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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