An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems
This paper proposes a consensus tracking control for a class of second-order multi-agent nonlinear systems and generalizes the concept of integral sliding mode for networked systems. This design relies upon an integral manifold which is defined as a function of the consensus error variables. The des...
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iium-644832018-07-10T03:01:07Z http://irep.iium.edu.my/64483/ An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems Khan, Qudrat Akmeliawati, Rini khan, Mahmood Ashraf TJ Mechanical engineering and machinery TJ212 Control engineering This paper proposes a consensus tracking control for a class of second-order multi-agent nonlinear systems and generalizes the concept of integral sliding mode for networked systems. This design relies upon an integral manifold which is defined as a function of the consensus error variables. The designed integral manifold helps in the establishment of sliding mode without reaching phase. Consequently, the robustness against uncertainties is guaranteed from the very start. The continuous control components, of the control laws, governs the dynamics of the nonlinear system in sliding mode and the discontinuous terms handle the disturbances. The stability analysis is given to show the sliding mode establishment and an example is considered to demonstrate the benefits of the proposed strategy. 2018-06-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/64483/7/Rini%20WOS_An%20integral%20sliding_Art.-2-Issue-2-2018-SIC.pdf Khan, Qudrat and Akmeliawati, Rini and khan, Mahmood Ashraf (2018) An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems. Studies in Informatics and Control, 27 (2). pp. 147-154. ISSN 1220-1766 |
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Online Access |
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English |
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TJ Mechanical engineering and machinery TJ212 Control engineering |
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TJ Mechanical engineering and machinery TJ212 Control engineering Khan, Qudrat Akmeliawati, Rini khan, Mahmood Ashraf An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems |
description |
This paper proposes a consensus tracking control for a class of second-order multi-agent nonlinear systems and generalizes the concept of integral sliding mode for networked systems. This design relies upon an integral manifold which is defined as a function of the consensus error variables. The designed integral manifold helps in the establishment of sliding mode without reaching phase. Consequently, the robustness against uncertainties is guaranteed from the very start. The continuous control components, of the control laws, governs the dynamics of the nonlinear system in sliding mode and the discontinuous terms handle the disturbances. The stability analysis is given to show the sliding mode establishment and an example is considered to demonstrate the benefits of the proposed strategy. |
format |
Article |
author |
Khan, Qudrat Akmeliawati, Rini khan, Mahmood Ashraf |
author_facet |
Khan, Qudrat Akmeliawati, Rini khan, Mahmood Ashraf |
author_sort |
Khan, Qudrat |
title |
An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems |
title_short |
An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems |
title_full |
An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems |
title_fullStr |
An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems |
title_full_unstemmed |
An integral sliding mode-based robust consensus control protocol design for electro-mechanical systems |
title_sort |
integral sliding mode-based robust consensus control protocol design for electro-mechanical systems |
publishDate |
2018 |
url |
http://irep.iium.edu.my/64483/ http://irep.iium.edu.my/64483/7/Rini%20WOS_An%20integral%20sliding_Art.-2-Issue-2-2018-SIC.pdf |
first_indexed |
2018-09-07T08:19:01Z |
last_indexed |
2018-09-07T08:19:01Z |
_version_ |
1610936055172694016 |