Motion control and path optimization of intelligent AUV using fuzzy adaptive PID and improved genetic algorithm-Reference-Cited by-同舟云学术

Motion control and path optimization of intelligent AUV using fuzzy adaptive PID and improved genetic algorithm

Published:2023 Issue:5 Volume:20 Page:9208-9245
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Xiong Yong¹,Pan Lin²³⁴⁵,Xiao Min⁶,Xiao Han²

Affiliation:

1. School of Navigation, Wuhan University of Technology, Wuhan, 430063, China

2. School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China

3. Hainan Research Institute, Wuhan University of Technology, Sanya 572000, China

4. Hebei Huifeng Network Technology Development Co., Ltd, Shijiazhuang 050092, China

5. Shaoxing Institute of Advanced Research, Wuhan University of Technology, Shaoxing 312300, China

6. School of Computer Science and Artificial Intelligent, Wuhan University of Technology, Wuhan, 430063, China

Abstract

<abstract><p>This study discusses the application of fuzzy adaptive PID and improved genetic algorithm (IGA) in motion control and path optimization of autonomous underwater vehicle (AUV). The fuzzy adaptive PID method is selected because it is considered to be a strongly nonlinear and coupled system. First, this study creates the basic coordinate system of the AUV, and then analyzes the spatial force from the AUV to obtain the control model of the heading angle, climb angle, and depth. Next, the knowledge of fuzzy adaptive PID and IGA technology on AVU are investigated, then fuzzy adaptive PID controllers and path optimization are established, and experimental simulations are carried out to compare and analyze the simulation results. The research results show that controllers and IGA can be used for the motion control and path optimization of AUV. The advantages of fuzzy adaptive PID control are less overload, enhanced system stability, and more suitable for motion control and path optimization of AUV.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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