Digital Control of Magnetic Levitation System using Fuzzy Logic Controller

Abstract

This paper deals with the control aspects of magnetic levitation system using fuzzy logic controller (FLC). The magnetic levitation system is a mechatronic system already acknowledged and accepted by the field experts. For such a system it is desired to proposed a suitable controller for positioning a metal sphere in air space by the help of an electromagnetic force. In the ideal situation, the magnetic force produced by current from an electromagnet counteracts the weight of the metal sphere. Nevertheless, the electromagnetic force is very sensitive, and there is noise that creates acceleration forces on the metal sphere, causing the sphere to move into the unbalanced region. FLC proposed in this paper is to control the nonlinear magnetic ball suspension system using Mamdani implication method. Samples of simulation results with different initial conditions concerning the ball's position and speed are provided included to validate the theory. The effectiveness of this proposed technique is validated through experimental results obtained by performing experiments on Feedback make Magnetic levitation system

Adaptive Sliding Mode Control for Magnetic levitation system

“…The steel ball is detected by an infrared sensor that can be featured the vertical direction of the steel ball from the horizontal ones. The distance for this ball from coil minimum and maximum are 0.5 cm and 0.25 cm, respectively [16,17]. The differential equations which describe the dynamics of Maglev system is specified by Eqs.…”

“…Here which worked as an estimator is a controller to estimate the unknown system states of that depend on the measured outputs and inputs. It is fundamentally a numerical regeneration for system, came by the system input with signal presenting the difference between the system measured value and observer outputs [17]. The skillfulness to produce a sliding motion where the error difference of the output of the differentiator and output of measured plant guarantees a Sliding Mode Differentiator (SMD) that presents a set of estimated states which for sure accurately proportional to the actual plant output .…”

Design and Analysis of ANFIS Controller for High Accuracy Magnetic Levitation (ML) System

“…A feathery introduction style that FL then uses to take in gains from the data it shows is critical to flexible neural learning procedures. Changing the limits of work sharing should not bother a human chairman, so this is a good position from a flimsy, unadulterated world standpoint [19,20].…”

Optimal fractional order PID controller for magnetic levitation system

“…In the ideal condition, the weight of the metallic iron ball is balanced by the magnetic force produced by the current from an electromagnet. However, the electromagnetic force is very sensitive to the noise and this noise creates acceleration force on the ball which pushes the ball into the unbalanced region [6].…”