Magnetic Levitation System Control Strategy Based on Backstepping Technique to Design Sliding Mode Controller

Author(s):  
Writuparna Saikia ◽  
Arobindra Saikia
2013 ◽  
Vol 380-384 ◽  
pp. 550-555
Author(s):  
Rong Rong Song ◽  
Zi Li Chen

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.


2020 ◽  
Vol 32 ◽  
pp. 01004
Author(s):  
Rupak Rokade ◽  
Deepti Khimani

This article presents the implementation results of second order sliding mode control (SOSM) for magnetic levitation system. In practical systems, especially when the actuators are electro-mechanical, the conventional (first order) sliding mode control can not be used effectively as it exhibits chattering, which is highly undesirable. Therefore, for such systems, sliding mode control of higher order can be a suitable choice as the reduce the chattering significantly. In this article the super-twisting control, which isa second order sliding mode control, is designed and implemented for the experimental setup of Maglev system, Model 730 developed by ECP systems.


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