Adaptive Speed Control for PMSM Drive Based on Neuron and Direct MRAC Method

A novel single neuron speed controller of permanent magnet synchronous motor drive is presented, which is on-line trained by a gradient descent algorithm based on direct model reference adaptive control (MRAC) and field-oriented control scheme. A new error function is used to ensure motor speed tracking better. The system of permanent magnet synchronous motor drive is proved to be stable. The controller is very simple and easy to be achieved on a digital computer. The simulation results reveal that proposed method can ensure motor speed tracking quickly and precisely and have good performance of the load disturbance attenuation.