Robust Self-Adjustable Path-Tracking Control for Autonomous Underwater Vehicle

被引：0
作者：
Nadia Zendehdel
Mehdi Gholami
机构：
[1] Quchan University of Technology,Faculty of Electrical and Computer Engineering, Department of Electrical Engineering
来源：
International Journal of Fuzzy Systems | 2021年 / 23卷
关键词：
Autonomous under-water vehicle; Nonlinear system; Fuzzy PID control; Uncertainty;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The purpose of this study is to design a supervisory two-level controller for an autonomous underwater vehicle path following problem despite the underwater uncertain operation conditions and external measurement noises. For the controller description, the surge degree of freedom dynamic model is linearized using feedback linearization technique and then a fuzzy PID tracking control law is sketched. To illustrate the robust tracking performance of the controller, the proposed control law is compared with a conventional PID controller. The results show improvement in the tracking error in the presence of noise and dynamic model parameter perturbation. The main reason behind the ability of the supervisory controller in handling the uncertainties is the auto-adjustment ability of PID gains when faced with real-time situations.
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页码：216 / 227
页数：11
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