Speed estimate for maglev train based on linear induction motor

Maglev train is a new vehicle without support wheel and its movement speed is gained through a special measure equipment. The paper proposes a neural network arithmetic for the maglev train speed estimator which combines characteristics of its traction linear induction motor. The result of a dynamic simulation experiment shows that real speed measure is near to theory calculation. This proves that the method is feasible. This method will economize expensive cost for speed measurement of maglev train and reduce system equipment complexity, and also advance work reliability of entire train system.