Control of Robotic Manta Based on T-S Fuzzy Neural Network

Yonghui Cao, Yu Xie, Shumin Ma, Daili Zhang, Yiwei Hao, Yue He, Yong Cao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Purpose: The purpose of this paper is to study the control method of the Robotic Manta and complete its depth control using a T-S fuzzy neural network controller. Methods: The Robotic Manta adopts Median and/or Paired Fin propulsion mode, which has good stability. By adjusting the caudal fin angle, the Robotic Manta can swim upward or downward. Due to the complex hydrodynamics and the uncertainty existing in the environment, it is difficult to establish an accurate mathematical model. In this paper, data acquisition is carried out for the depth control of the Robotic Manta and a T-S fuzzy neural network is designed and trained. Finally, this paper implements the automatic depth control of the Robotic Manta with the T-S fuzzy neural network controller. Findings: The experimental results show that the depth error of the Robotic Manta is less than 60 mm, with good rapidity and small overshoot, which verifies the effectiveness of the T-S fuzzy neural network controller in design and implementation.

Original languageEnglish
Title of host publicationProceedings of 2021 International Conference on Autonomous Unmanned Systems, ICAUS 2021
EditorsMeiping Wu, Yifeng Niu, Mancang Gu, Jin Cheng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages2813-2822
Number of pages10
ISBN (Print)9789811694912
DOIs
StatePublished - 2022
EventInternational Conference on Autonomous Unmanned Systems, ICAUS 2021 - Changsha, China
Duration: 24 Sep 202126 Sep 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume861 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Autonomous Unmanned Systems, ICAUS 2021
Country/TerritoryChina
CityChangsha
Period24/09/2126/09/21

Keywords

  • Depth control
  • Robotic manta
  • T-S fuzzy neural network

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