Smart Navigation for an In-pipe Robot through Multi-phase Motion Control and Particle Filtering Method

Saber Kazeminasab, Vahid Janfaza, Moein Razavi, M. Katherine Banks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

In-pipe robots are promising solutions for condition assessment, leak detection, water quality monitoring in a variety of other tasks in pipeline networks. Smart navigation is an extremely challenging task for these robots as a result of highly uncertain and disturbing environment for operation. Wireless communication to control these robots during operation is not feasible if the pipe material is metal since the radio signals are destroyed in the pipe environment, and hence, this challenge is still unsolved. In this paper, we introduce a method for smart navigation for our previously designed in-pipe robot [1] based on particle filtering and a two-phase motion controller. The robot is given the map of the operation path with a novel approach and the particle filtering determines the straight and non-straight configurations of the pipeline. In the straight paths, the robot follows a linear quadratic regulator (LQR) and proportional- integral-derivative (PID) based controller that stabilizes the robot and tracks a desired velocity. In non-straight paths, the robot follows the trajectory that a motion trajectory generator block plans for the robot. The proposed method is a promising solution for smart navigation without the need for wireless communication and capable of inspecting long distances in water distribution systems.

Original languageEnglish (US)
Title of host publication2021 IEEE International Conference on Electro Information Technology, EIT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages342-349
Number of pages8
ISBN (Electronic)9781665418461
DOIs
StatePublished - May 14 2021
Event2021 IEEE International Conference on Electro Information Technology, EIT 2021 - Mt. Pleasant, United States
Duration: May 14 2021May 15 2021

Publication series

NameIEEE International Conference on Electro Information Technology
Volume2021-May
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Conference

Conference2021 IEEE International Conference on Electro Information Technology, EIT 2021
Country/TerritoryUnited States
CityMt. Pleasant
Period5/14/215/15/21

Keywords

  • In-Pipe Robots
  • Motion Control
  • Particle Filtering
  • Smart Navigation
  • Water Distribution Systems

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Smart Navigation for an In-pipe Robot through Multi-phase Motion Control and Particle Filtering Method'. Together they form a unique fingerprint.

Cite this