Depth Control of a Manta Robot Based on Fuzzy S-plane Control

Yue He, Yu Xie, Guang Pan, Yonghui Cao, Qiaogao Huang, Shumin Ma, Daili Zhang, Yong Cao

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

Abstract

Depth control capability is the basis for the complex mission of the manta robot. This paper studies the depth control problem of the fuzzy S-plane-based manta robot. The basic S-plane control is improved by using the asymmetric control strategy to solve the problem of the asymmetric floating and diving rate of the manta robot, and the adjustment of the S-plane controller parameters is realized by using the fuzzy control method. The results of the pool experiments show that the depth error of the manta robot is within ±5cm, which verifies the feasibility and effectiveness of the control method for the depth control of the manta robot.

Original languageEnglish
Title of host publicationProceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022
EditorsWenxing Fu, Mancang Gu, Yifeng Niu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages513-523
Number of pages11
ISBN (Print)9789819904785
DOIs
StatePublished - 2023
EventInternational Conference on Autonomous Unmanned Systems, ICAUS 2022 - Xi'an, China
Duration: 23 Sep 202225 Sep 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1010 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Autonomous Unmanned Systems, ICAUS 2022
Country/TerritoryChina
CityXi'an
Period23/09/2225/09/22

Keywords

  • Depth control
  • Fuzzy S-plane
  • Manta robot

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