A new approach to a sliding mode controller design for a magnetic levitation system

2009 ◽  
Author(s):  
Vithal S. Bandal ◽  
Pratik N. Vernekar
Keyword(s):  
Controller Design ◽  
Magnetic Levitation ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
New Approach ◽  
Levitation System ◽  
Magnetic Levitation System

The Research of Magnetic Levitation System Based on Fuzzy Sliding-Mode Control

2013 ◽  
Vol 380-384 ◽  
pp. 550-555
Author(s):  
Rong Rong Song ◽  
Zi Li Chen
Keyword(s):  
Fuzzy Controller ◽  
Magnetic Levitation ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Control Input ◽  
Closed Loop System ◽  
Fuzzy Sliding Mode Control ◽  
Levitation System ◽  
Fuzzy Sliding Mode ◽  
Magnetic Levitation System

This paper develops a sliding-mode controller with fuzzy rules for the single magnetic levitation system with delay, different signals and interference. The control algorithm comprises a sliding-mode controller which is designed for enhancing robustness when plant uncertainties, and a fuzzy controller which is designed for smoothing the control input when switching at these boundary manifolds. An algorithm is presented for selecting the coefficients of the swithing plane such that the overall closed-loop system has stable eigenvalues. A control input is shown to be smoothing and overcome the chatter. The performance of the single magnetic levitation system is obtained by simulation and experimental results which show that the proposed fuzzy sliding-mode controller algorithm is effective for tracking different signals with interference.

Backstepping Based Adaptive Control of Magnetic Levitation System

2013 ◽  
Vol 341-342 ◽  
pp. 945-948 ◽  
Author(s):  
Wei Zhou ◽  
Bao Bin Liu
Keyword(s):  
Parameter Uncertainty ◽  
Closed Loop ◽  
Controller Design ◽  
Magnetic Levitation ◽  
Adaptive Controller ◽  
Closed Loop System ◽  
Actual System ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Control Accuracy

In view of parameter uncertainty in the magnetic levitation system, the adaptive controller design problem is investigated for the system. Nonlinear adaptive controller based on backstepping is proposed for the design of the actual system with parameter uncertainty. The controller can estimate the uncertainty parameter online so as to improve control accuracy. Theoretical analysis shows that the closed-loop system is stable regardless of parameter uncertainty. Simulation results demonstrate the effectiveness of the presented method.

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