The invention relates to the technical field of speed control of a permanent-
magnet synchronous motor, and particularly discloses a neural network-based direct speed control method of a permanent-
magnet synchronous motor. The method comprises the steps of 1, detecting each state quantity of the motor at an arbitrary moment; 2, training a neural network so that a local dynamic model of the
system is approached; 3, forecasting each state quantity of the
system within a future period by the
neutral network; 4, evaluating a forecast result of a limited
control set by an
index function, and selecting control quantity with optimal index; and 5, outputting an
inverter control signal corresponding to the control quantity with the optimal index to an
inverter, and completing control of a period. Bythe method, the influence of a current ring in a traditional
cascade connection controller on bandwidth of a speed ring is prevented, and the dynamic response performance of the
system is improved; and meanwhile, the method has
good control accuracy and has favorable adaptability on external interference and parameter change, and the robustness of the system is greatly improved.