Wavelet neural network based for permanent magnet linear synchronous motor position servo control

Permanent magnet synchronous linear motor is a type constitutes a preferred motor direct drive linear servo system, mathematical model is difficult to establish because the motor, servo positioning control them to achieve, through the introduction of neural network control algorithm with self-learning ability, on time-optimal control Bang-Bang switching time for studying and solving and motor nonlinearity and the uncertainty of signal denoising based on wavelet transform preconditioning. Positioning control for higher accuracy and robustness.