Adaptive control of permanent magnet synchronous machines with disturbance estimation

In this paper, an adaptive control scheme is introduced for permanent magnet synchronous machines (PMSMs) as an alternative to classical control techniques. The adaptive control strategy capitalizes on the machine's inverse dynamics to achieve accurate tracking by using an observer to approximate disturbance in the form of friction and load torque. The controller's output is then fed to a space vector pulse width modulation (SVPWM) algorithm to produce duty cycles for the inverter. The control scheme is validated through a set of simulations on an experimentally validated PMSM model. Results for different situations highlight its high speed tracking accuracy and high performance in compensating for friction and load disturbances of various magnitudes