Synchronous motor nonlinear PID fault diagnosis and control method based on fuzzy system

The invention discloses a synchronous motor nonlinear PID fault diagnosis and control method based on a fuzzy system, and belongs to the technical field of motor fault diagnosis and control. Input and output data of a motor system are collected, and clustering analysis is performed on the data by adopting a nearest neighbor learning algorithm; and fitting the clustered data to a nonlinear function and storing the data as a comparison function in the system, enabling the comparison function with an optimal sequence to approach real-time data of motor operation, thereby judging whether the motor has a fault, obtaining fuzzy output of the system by adopting a fuzzy system, and performing deviation analysis on the fuzzy output and actual output of the motor system. Fault separation is achieved, so that a fault occurrence point is positioned, a differentiator is used for obtaining a nonlinear PID control method, and the self-adjustment effect of nonlinear gain is achieved. The method has the advantages that the mo