Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot
In order to predict and analyse the behaviour of a real system, a simulated model is needed. The more accurate the model the better the response is when dealing with the real plant. This paper presents a model predictive position control of a Two Wheeled Inverted Pendulum robot. The model was develo...
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my.utm.556432017-11-01T04:16:53Z http://eprints.utm.my/id/eprint/55643/ Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot Bature, Amir A. Buyamin, Salinda Ahmad, Mohamad Noh Muhammad, Mustapha Muhammad, Auwalu A. TK Electrical engineering. Electronics Nuclear engineering In order to predict and analyse the behaviour of a real system, a simulated model is needed. The more accurate the model the better the response is when dealing with the real plant. This paper presents a model predictive position control of a Two Wheeled Inverted Pendulum robot. The model was developed by system identification using a grey box technique. Simulation results show superior performance of the gains computed using the grey box model as compared to common linearized mathematical model. Penerbit UTM Press 2015-02 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/55643/1/MohamadNohAhmad2015_IdentificationandModelPredictivePositionControl.pdf Bature, Amir A. and Buyamin, Salinda and Ahmad, Mohamad Noh and Muhammad, Mustapha and Muhammad, Auwalu A. (2015) Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot. Jurnal Teknologi, 73 (6). pp. 147-150. ISSN 2180-3722 http://dx.doi.org/10.11113/jt.v73.4467 DOI:10.11113/jt.v73.4467 |
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TK Electrical engineering. Electronics Nuclear engineering Bature, Amir A. Buyamin, Salinda Ahmad, Mohamad Noh Muhammad, Mustapha Muhammad, Auwalu A. Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot |
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In order to predict and analyse the behaviour of a real system, a simulated model is needed. The more accurate the model the better the response is when dealing with the real plant. This paper presents a model predictive position control of a Two Wheeled Inverted Pendulum robot. The model was developed by system identification using a grey box technique. Simulation results show superior performance of the gains computed using the grey box model as compared to common linearized mathematical model. |
format |
Article |
author |
Bature, Amir A. Buyamin, Salinda Ahmad, Mohamad Noh Muhammad, Mustapha Muhammad, Auwalu A. |
author_facet |
Bature, Amir A. Buyamin, Salinda Ahmad, Mohamad Noh Muhammad, Mustapha Muhammad, Auwalu A. |
author_sort |
Bature, Amir A. |
title |
Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot |
title_short |
Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot |
title_full |
Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot |
title_fullStr |
Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot |
title_full_unstemmed |
Identification and model predictive position control of Two Wheeled Inverted Pendulum mobile robot |
title_sort |
identification and model predictive position control of two wheeled inverted pendulum mobile robot |
publisher |
Penerbit UTM Press |
publishDate |
2015 |
url |
http://eprints.utm.my/id/eprint/55643/1/MohamadNohAhmad2015_IdentificationandModelPredictivePositionControl.pdf http://eprints.utm.my/id/eprint/55643/ http://dx.doi.org/10.11113/jt.v73.4467 |
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13.211869 |