Adaptive controller and robust controller for levitation of an electromagnetic system

Numerous benefits of magnetic levitation (maglev) trains such as high speed, low energy consumption, no direct environmental pollution, high safety and reliability all together have made a great motivation for many countries to replace their old, transportation systems which need periodic costly maintenance with this innovative transportation.In this paper we aim to analysis the performance of a non-linear sliding mode control and a neural network in an adaptive controller on a magnetic levitation model (maglev). The proposed controller is an adaptive- neural procedure based on backstepping technique. Also, in the rest, sliding mode controller as a robust method is proposed and designed

Keywords:

Magnetic levitation (Maglev) , Neural network , Adaptive controller , sliding mode controller