A Self-Tuning Variable Universe Fuzzy PID Control Framework with Hybrid BAS-PSO-SA Optimization for Unmanned Surface Vehicles

In this study, a hybrid heading control framework for unmanned surface vehicles (USVs) is proposed, combining variable domain fuzzy Proportional–Integral–Derivative (VUF-PID) with an improved algorithmic Beetle Antennae Search–Particle Swarm Optimization–Simulated Annealing (BAS-PSO-SA) optimization...

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Bibliographic Details

Published in:	Journal of Marine Science and Engineering
Main Authors:	Huixia Zhang, Zhao Zhao, Yuchen Wei, Yitong Liu, Wenyang Wu
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	unmanned surface vehicles (USVs) heading control BAS-PSO-SA optimization variable universe fuzzy PID co-evolutionary algorithms energy-efficient steering
Online Access:	https://www.mdpi.com/2077-1312/13/3/558