IPMSM sensorless control method for improving rotating speed loop PID

The invention discloses an IPMSM sensorless control method for improving a rotating speed loop PID, and belongs to the technical field of permanent magnet synchronous motor control. Comprising the steps that a fuzzy cerebellar model neural network PID parallel controller is designed, meanwhile, a Smith estimation compensator is introduced to compensate the delay phenomenon brought by the fuzzy cerebellar model neural network, a Smith-FCMAC-PID controller is formed, the controller is firstly controlled by the PID controller at the moment t = 0, the Smith-FCMAC-PID controller is mainly controlled by the FCMAC neural network along with FCMAC learning, and the Smith-FCMAC-PID controller is controlled by the PID controller at the moment t = 0. Wherein the Smith estimation compensation is a time compensation function, and the response speed of the motor is effectively improved. The rotating speed and rotor position information of the motor are obtained by adopting a model reference adaptive sensorless control metho