Heading control of AUV based on GA and fractional order technology

<b>[Objectives]</b> Autonomous Underwater Vehicle (AUV) is an important tool for ocean exploration and exploitation,which plays an important role in ocean resources exploration,underwater equipment maintenance,underwater search and rescue,etc. Heading control of AUV is the fundamental fu...

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Main Authors: ZHAO Rui, XU Jian, WANG Miao, XIANG Xianbo, XU Guohua
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2018-12-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
Online Access:http://www.ship-research.com/EN/Y2018/V13/I6/87
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author ZHAO Rui
XU Jian
WANG Miao
XIANG Xianbo
XU Guohua
author_facet ZHAO Rui
XU Jian
WANG Miao
XIANG Xianbo
XU Guohua
author_sort ZHAO Rui
collection DOAJ
description <b>[Objectives]</b> Autonomous Underwater Vehicle (AUV) is an important tool for ocean exploration and exploitation,which plays an important role in ocean resources exploration,underwater equipment maintenance,underwater search and rescue,etc. Heading control of AUV is the fundamental function to accomplish underwater mission. At present, conventional Integer-Order PID (IOPID) controller is widely used for heading control in domestic engineering. However,its robustness is poor and parameter setting is complex.<b>[Methods]</b> Due to the shortcomings mentioned above,a heading controller based on Fractional-Order PID(FOPID)technology is proposed,and Genetic Algorithm(GA)is adopted to automatically tune the control gains and enable the practical implementation of the controller. The numerical simulations for PID,GA based IOPID and GA based FOPID are compared respectively by trial-and-error method.<b>[Results]</b> The results showed that,compared with the other two controllers,the GA based FOPID heading controller has a significantly reduced overshoot when the rise time and the steady-state error are basically equal,<b>[Conclusions]</b> which indicates that the AUV applying the GA based FOPID is more effective and advantageous.
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spelling doaj.art-65f53410076e4dabb7a5d2498d97daf12022-12-21T20:30:53ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31851673-31852018-12-01136879310.19693/j.issn.1673-3185.01185201806012Heading control of AUV based on GA and fractional order technologyZHAO Rui0XU Jian1WANG Miao2XIANG Xianbo3XU Guohua4China Ship Development and Design Center, Wuhan 430064, ChinaChina Ship Development and Design Center, Wuhan 430064, ChinaChina Ship Development and Design Center, Wuhan 430064, ChinaSchool of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China<b>[Objectives]</b> Autonomous Underwater Vehicle (AUV) is an important tool for ocean exploration and exploitation,which plays an important role in ocean resources exploration,underwater equipment maintenance,underwater search and rescue,etc. Heading control of AUV is the fundamental function to accomplish underwater mission. At present, conventional Integer-Order PID (IOPID) controller is widely used for heading control in domestic engineering. However,its robustness is poor and parameter setting is complex.<b>[Methods]</b> Due to the shortcomings mentioned above,a heading controller based on Fractional-Order PID(FOPID)technology is proposed,and Genetic Algorithm(GA)is adopted to automatically tune the control gains and enable the practical implementation of the controller. The numerical simulations for PID,GA based IOPID and GA based FOPID are compared respectively by trial-and-error method.<b>[Results]</b> The results showed that,compared with the other two controllers,the GA based FOPID heading controller has a significantly reduced overshoot when the rise time and the steady-state error are basically equal,<b>[Conclusions]</b> which indicates that the AUV applying the GA based FOPID is more effective and advantageous.http://www.ship-research.com/EN/Y2018/V13/I6/87Autonomous Underwater Vehicle (AUV)fractional orderGenetic Algorithm (GA)heading control
spellingShingle ZHAO Rui
XU Jian
WANG Miao
XIANG Xianbo
XU Guohua
Heading control of AUV based on GA and fractional order technology
Zhongguo Jianchuan Yanjiu
Autonomous Underwater Vehicle (AUV)
fractional order
Genetic Algorithm (GA)
heading control
title Heading control of AUV based on GA and fractional order technology
title_full Heading control of AUV based on GA and fractional order technology
title_fullStr Heading control of AUV based on GA and fractional order technology
title_full_unstemmed Heading control of AUV based on GA and fractional order technology
title_short Heading control of AUV based on GA and fractional order technology
title_sort heading control of auv based on ga and fractional order technology
topic Autonomous Underwater Vehicle (AUV)
fractional order
Genetic Algorithm (GA)
heading control
url http://www.ship-research.com/EN/Y2018/V13/I6/87
work_keys_str_mv AT zhaorui headingcontrolofauvbasedongaandfractionalordertechnology
AT xujian headingcontrolofauvbasedongaandfractionalordertechnology
AT wangmiao headingcontrolofauvbasedongaandfractionalordertechnology
AT xiangxianbo headingcontrolofauvbasedongaandfractionalordertechnology
AT xuguohua headingcontrolofauvbasedongaandfractionalordertechnology