2nd International Power and Energy Conference (PECon 2008), Johor-Bahru, Malezya, 1 - 03 Aralık 2008, ss.1426-1428
Neural network Based controller is used for controlling a magnetic levitation system. Feedback error learning (FEL) can be regarded as a hybrid control to guarantee stability of control approach. This paper presents simulation of a magnetic levitation system controlled by a FEL neural network and PID controllers. The simulation results demonstrate that this method is more feasible and effective for magnetic levitation system control.