A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm

This study proposes the design and development of an in-pipe mini crawler (or robot) capable of performing its various tasks with the ability to reject undesired disturbances resulting from friction and viscosity, as it was modeled, simulated, and experimented using an iterative learning algorithm (...

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Main Authors: Sabzehmeidani, Yaser, Mailah, Musa, Tang, H. Hing, Abdelmaksoud, Sherif I.
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/97739/1/MusaMailah2021_ANovelVoiceCoilActuatedMiniCrawler.pdf
http://eprints.utm.my/id/eprint/97739/
http://dx.doi.org/10.1109/ACCESS.2021.3058312
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spelling my.utm.977392022-10-31T07:07:57Z http://eprints.utm.my/id/eprint/97739/ A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm Sabzehmeidani, Yaser Mailah, Musa Tang, H. Hing Abdelmaksoud, Sherif I. TJ Mechanical engineering and machinery This study proposes the design and development of an in-pipe mini crawler (or robot) capable of performing its various tasks with the ability to reject undesired disturbances resulting from friction and viscosity, as it was modeled, simulated, and experimented using an iterative learning algorithm (ILA)-based active force control (AFC) strategy. The crawler motion was executed based on a rapid and successive push-pull action plus friction that causes the crawler to move in an earthworm-like manner using a linear voice-coil actuator (VCA). A novel self-adjusted mechanism was designed to ensure that the crawler remained concentric in the pipe as it slides along the inner surface of the pipe. A novel control strategy was also proposed consisting of the AFC-based controller cascaded with a proportional-integral-derivative (PID) controller to control the crawler movement and expel off the applied perturbations. An intelligent PD-type ILA was employed to automatically tune the AFC while online. For the validation part, a prototype was designed, developed, and later experimented with using the proposed technique for a given set of conditions. The system integration employed a hardware-in-the-loop (HIL) test configuration utilizing LabVIEW. Experimental results are in good agreement with the simulation counterpart, thereby indicating the practicality and feasibility of the control system in performing accurate and robust trajectory tracking. This shall serve as a good basis for designing more challenging tasks related to miniature crawling mechanism in-pipe applications. Institute of Electrical and Electronics Engineers Inc. 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97739/1/MusaMailah2021_ANovelVoiceCoilActuatedMiniCrawler.pdf Sabzehmeidani, Yaser and Mailah, Musa and Tang, H. Hing and Abdelmaksoud, Sherif I. (2021) A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm. IEEE Access, 9 (NA). pp. 28156-28166. ISSN 2169-3536 http://dx.doi.org/10.1109/ACCESS.2021.3058312 DOI : 10.1109/ACCESS.2021.3058312
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Sabzehmeidani, Yaser
Mailah, Musa
Tang, H. Hing
Abdelmaksoud, Sherif I.
A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm
description This study proposes the design and development of an in-pipe mini crawler (or robot) capable of performing its various tasks with the ability to reject undesired disturbances resulting from friction and viscosity, as it was modeled, simulated, and experimented using an iterative learning algorithm (ILA)-based active force control (AFC) strategy. The crawler motion was executed based on a rapid and successive push-pull action plus friction that causes the crawler to move in an earthworm-like manner using a linear voice-coil actuator (VCA). A novel self-adjusted mechanism was designed to ensure that the crawler remained concentric in the pipe as it slides along the inner surface of the pipe. A novel control strategy was also proposed consisting of the AFC-based controller cascaded with a proportional-integral-derivative (PID) controller to control the crawler movement and expel off the applied perturbations. An intelligent PD-type ILA was employed to automatically tune the AFC while online. For the validation part, a prototype was designed, developed, and later experimented with using the proposed technique for a given set of conditions. The system integration employed a hardware-in-the-loop (HIL) test configuration utilizing LabVIEW. Experimental results are in good agreement with the simulation counterpart, thereby indicating the practicality and feasibility of the control system in performing accurate and robust trajectory tracking. This shall serve as a good basis for designing more challenging tasks related to miniature crawling mechanism in-pipe applications.
format Article
author Sabzehmeidani, Yaser
Mailah, Musa
Tang, H. Hing
Abdelmaksoud, Sherif I.
author_facet Sabzehmeidani, Yaser
Mailah, Musa
Tang, H. Hing
Abdelmaksoud, Sherif I.
author_sort Sabzehmeidani, Yaser
title A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm
title_short A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm
title_full A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm
title_fullStr A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm
title_full_unstemmed A novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm
title_sort novel voice-coil actuated mini crawler for in-pipe application employing active force control with iterative learning algorithm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url http://eprints.utm.my/id/eprint/97739/1/MusaMailah2021_ANovelVoiceCoilActuatedMiniCrawler.pdf
http://eprints.utm.my/id/eprint/97739/
http://dx.doi.org/10.1109/ACCESS.2021.3058312
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score 13.160551