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Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 17 | Page No.: 1984-1989
DOI: 10.3923/jas.2014.1984.1989
 
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Control of a Ball on Sphere System with Adaptive Neural Network Method for Regulation Purpose
Seyed Alireza Moezi, Ehsan Zakeri, Yousef Bazargan-Lari and Mohammad Tavallaeinejad

Abstract:
Over the past decades, numerous control laboratory experimental setups, such as the inverted pendulum, ball and beam, ball and plate, ball and wheel and ball and sphere, have been developed for control education and research. Several attempts have been made to control a system which contains a ball on a body such as using feedback linearization and sliding mode control which couldn’t regulate the angle position of ball in present of random disturbance. In this study, adaptive neural network position control of a class of Multi-Input Multi-Output (MIMO) nonlinear systems called “system of ball on a sphere” in present of random disturbance is considered. The system’s dynamic is described and the equations are illustrated. Controlling simulation is in consideration of disturbance, to show exactness of the adaptive neural network controlling method. These simulation results show the propriety and accuracy of the controller’s performance.
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How to cite this article:

Seyed Alireza Moezi, Ehsan Zakeri, Yousef Bazargan-Lari and Mohammad Tavallaeinejad, 2014. Control of a Ball on Sphere System with Adaptive Neural Network Method for Regulation Purpose. Journal of Applied Sciences, 14: 1984-1989.

DOI: 10.3923/jas.2014.1984.1989

URL: https://scialert.net/abstract/?doi=jas.2014.1984.1989

 
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