Neural Adaptive Controller for Magnetic levitation System

Neural Adaptive Controller for Magnetic levitation System

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Part of #Neural Adaptive Controller for Magnetic levitation System# :

Publishing year : 2013

Conference : Twelfth National Conference on Intelligent Systems

Number of pages : 6

Abstract: In this study, a Neural Adaptive Method is used for position control and identification of a magnetic levitation system. This controller consists of three parts: the PID controller, the radial basis function (RBF), the network controller and the radial base function (RBF) network identifier. The combination of controllers produces a stable system that adapts to optimize performance. It is shown that this technique can be successfully used to stabilize any selected operating point of the system. Allderived results are validated by computer simulation of a nonlinear mathematical model of the system.