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Abstract
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Article Information:
Hybrid ILC Strategy for Magnetic Ball Suspension System
S. Sathiyavathi, K. Krishnamurthy, P.K. Bhaba and S. Somasundaram
Corresponding Author: S. Sathiyavathi
Submitted: January 07, 2014
Accepted: February 06, 2014
Published: May 20, 2014 |
Abstract:
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Controlling of magnetic ball suspension system using hybrid Iterative Learning Controller (ILC) is investigated in this study. Hybrid ILC modifies the control input for the next iteration by learning from the present input and the errors of previous iteration without reconfiguration of the existing Proportional, Integral and Derivative (PID) controller. Firstly, hybrid ILC is employed to stabilize the ball and then set point tracking is performed to evaluate the efficacy of the controller. The effectiveness of designed hybrid ILC is analyzed based on performance indices via simulation.
Key words: Compensator, hybrid ILC, magnetic ball suspension system, PID controller, , ,
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Abstract
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Cite this Reference:
S. Sathiyavathi, K. Krishnamurthy, P.K. Bhaba and S. Somasundaram, . Hybrid ILC Strategy for Magnetic Ball Suspension System. Research Journal of Applied Sciences, Engineering and Technology, (20): 4355-4358.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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