Simulation of PMSM with Improved Neural Network Active Disturbance Rejection Control

Simulation of Permanent Magnet Synchronous Motor (PMSM) with Improved Neural Network Active Disturbance Rejection Control
①Comparison: Comparison effect of permanent magnet synchronous motor (PMSM) based on ADRC ②Auto-disturbance rejection: It tends to be model-free control, and only needs simple debugging after the control object is changed. Combined with the three-loop control of ADRC, it can be seen from the simulation that the improved effect is very good. As a strongly coupled and nonlinear control object, it is difficult to obtain ideal control performance using classical control theories such as P control. Therefore, an auto-disturbance rejection controller is used to replace the PI controller in traditional vector control. At the same time, in order to solve the problem of parameter setting in the auto-disturbance rejection controller, the neural network control algorithm is combined to achieve improvement
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