Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties

This paper addresses the problem of designing a robust control for a laboratory 3DOF helicopter system. Simplified and disturbance rejection robust controllers are presented for the linearized dynamical system. The robust controller is formulated as a mixed H2/H∞ problem. An Adaptive Neuro Fuzzy I...

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Main Authors: Raafat, Safanah M., Akmeliawati, Rini
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
Online Access:http://irep.iium.edu.my/25616/
http://irep.iium.edu.my/25616/1/procedia_safanah2012.pdf
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author Raafat, Safanah M.
Akmeliawati, Rini
author_facet Raafat, Safanah M.
Akmeliawati, Rini
author_sort Raafat, Safanah M.
building IIUM Repository
collection Online Access
description This paper addresses the problem of designing a robust control for a laboratory 3DOF helicopter system. Simplified and disturbance rejection robust controllers are presented for the linearized dynamical system. The robust controller is formulated as a mixed H2/H∞ problem. An Adaptive Neuro Fuzzy Inference System (ANFIS) is used for intelligent estimation of uncertainties. This paper is dedicated to robustly compensate for the effects of modelling uncertainties and disturbances on the helicopter system, using intelligent estimation. Further study on the design and controller implementation issues is now being developed.
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institution International Islamic University Malaysia
institution_category Local University
language English
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publishDate 2012
publisher Elsevier
recordtype eprints
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spelling iium-256162012-11-09T07:31:41Z http://irep.iium.edu.my/25616/ Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties Raafat, Safanah M. Akmeliawati, Rini TJ212 Control engineering This paper addresses the problem of designing a robust control for a laboratory 3DOF helicopter system. Simplified and disturbance rejection robust controllers are presented for the linearized dynamical system. The robust controller is formulated as a mixed H2/H∞ problem. An Adaptive Neuro Fuzzy Inference System (ANFIS) is used for intelligent estimation of uncertainties. This paper is dedicated to robustly compensate for the effects of modelling uncertainties and disturbances on the helicopter system, using intelligent estimation. Further study on the design and controller implementation issues is now being developed. Elsevier 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25616/1/procedia_safanah2012.pdf Raafat, Safanah M. and Akmeliawati, Rini (2012) Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties. Procedia Engineering, 41. pp. 120-126. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812025374 10.1016/j.proeng.2012.07.151
spellingShingle TJ212 Control engineering
Raafat, Safanah M.
Akmeliawati, Rini
Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
title Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
title_full Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
title_fullStr Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
title_full_unstemmed Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
title_short Robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
title_sort robust disturbance rejection control of helicopter system using intelligent identification of uncertainties
topic TJ212 Control engineering
url http://irep.iium.edu.my/25616/
http://irep.iium.edu.my/25616/
http://irep.iium.edu.my/25616/
http://irep.iium.edu.my/25616/1/procedia_safanah2012.pdf