https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fuzzy Tuned PID Controller for Vibration Control of Agricultural Manipulator
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0003-4720-0897
Örebro University, Centre for Applied Autonomous Sensor Systems (AASS), Örebro, Sweden.
Umeå University, Department of Applied Physics and Electronics, Umeå, Sweden.
University of West Bohemia, Regional Innovational Center for Electrical Engineering, Faculty of Electrical Engineering, Pilsen, Czech Republic.
2020 (English)In: HORA 2020 - 2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings, 2020Conference paper, Published paper (Refereed)
Abstract [en]

Image-based phenotyping systems have evolved over the years, and become an integral part of crop and plant science research. Phenotyping systems provide great potential to deliver critical insights, than the conventional destructive field methods. Stable image acquisition and processing is very important to accurately determine the characteristics in general, which further becomes very challenging and non-trivial when mounted over an motor mechanised arm. To address the near associated problems, we investigate on the possibility of applying the Proportional-Integral-Derivative (PID) control algorithm to the present manual setup with an aim to reduce vibration. This study focused towards investigating the active control and stabilization of the external camera shake, that may be induced by the driving motor. Nonetheless, very few researchers have focused on application of control algorithms for agriculture related practices. We validate the active control, and justify the need for the same.Type-2 fuzzy logic is combined with the PID control for better effectiveness. The non-linearity associated with the system is compensated by the type-2 fuzzy logic. The results shows that the active control has been achieved, and the vibration is minimized.

Place, publisher, year, edition, pages
2020.
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-64203DOI: 10.1109/hora49412.2020.9152848ISI: 000644404300028Scopus ID: 2-s2.0-85089684284ISBN: 9781728193526 (print)OAI: oai:DiVA.org:mdh-64203DiVA, id: diva2:1795072
Conference
2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2020, Ankara, 26 June 2020 through 27 June 2020
Available from: 2023-09-07 Created: 2023-09-07 Last updated: 2023-09-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Paul, Satyam

Search in DiVA

By author/editor
Paul, Satyam
By organisation
Innovation and Product Realisation
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 13 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf