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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Bibliographic Details
Main Authors: Bature, Amir A. (Author), Buyamin, Salinda (Author), Ahmad, Mohamad Noh (Author), Muhammad, Mustapha (Author), Muhammad, Auwalu A. (Author)
Format: Article
Language:English
Published: Penerbit UTM Press, 2015-02.
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Description
Summary: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.