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Proceedings Paper

Stabilization ball and beam by fuzzy logic control strategy
Author(s): Houshyar Asadi; Arash Mohammadi; Maysam Oladazimi
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Paper Abstract

Fuzzy logic controller is a controller for designing the challenging nonlinear control systems by If-Then laws that is like human intelligence and it increase the accuracy of the control action .This paper present a success control function using a Fuzzy System approach which is to control the Ball-Beam balance system, throughout modeling, simulation, and implementation. First we applied fuzzy logic for system which means for the outer loop a fuzzy logic controller is designed and for the inner loop of a ball and beam system a PD controller is implemented. We design a traditional PID controller and pole placement controller for the beam position in order to compare the performance of these three types of controllers; thus FLC found to give better transient and steady state results and there is less overshoot in compare with classical PID and pole placement controller. Simulation results are presented to show the better performance of the ball and beam using these controllers.

Paper Details

Date Published: 14 January 2012
PDF: 7 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834938 (14 January 2012); doi: 10.1117/12.920959
Show Author Affiliations
Houshyar Asadi, Univ. of Malaya (Malaysia)
Arash Mohammadi, Univ. of Malaya (Malaysia)
Maysam Oladazimi, Univ. of Malaya (Malaysia)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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