Performance Improvement of PID Controller for PMSM Using ANFIS Controller

PID motor controllers are largely implemented in industrial applications because of their uncomplicated structure and simplicity in their design. PID controllers are generally preferred where the system characteristics are linear. But when system characteristics are non-linear, we have to change PID control gains according to system requirements. Moreover, the noise in the feedback sensing system makes the PID controller less suitable for system control. This paper aims to provide an advanced approach to improve the dynamic speed response of permanent magnet synchronous motor (PMSM) by replacing the PID controller with an adaptive neuro-fuzzy inference system (ANFIS) controller. This specific technique delivers the benefits fuzzy logic and neural network-based control system.