Submit Manuscript

Journal of Applied Sciences

Year: 2014 | Volume: 14 | Issue: 17 | Page No.: 1984-1989
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend

Total views 450

Search

Authors

Seyed Alireza Moezi

Ehsan Zakeri

Yousef Bazargan-Lari

Mohammad Tavallaeinejad

Keywords

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.
PDF Fulltext XML References Citation

Related Articles

Hybrid Control of Magnetic Levitation System Based-on New Intelligent Sliding Mode Control
Application of an Artificial Neural Network (ANN) for the Identification of Grapevine (Vitis vinifera L.) Genotypes
Computing of Compressible Flow Using Neural Network Based-on Dual-Level Clustering
An Indirect Adaptive Controller to Regulate UTSG Water Level in Pressurized Water Nuclear Reactor
Adaptive Feedback Linearization Control of Nonlinear Processes using Neural Network Based Approaches

Leave a Comment

Your email address will not be published. Required fields are marked *