Abstract

In this paper, stability and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) tuned Proportional Integral Derivative (PID) speed controller has been presented for Brushless DC motor. The stability of the proposed controller is examined using Lyapunov and Nyquist stability criterion. The performance of the proposed controller is analyzed for a step change in speed input and sudden load disturbance conditions and also compared with fuzzy PID, super twisting sliding mode control, and PID controllers. Sensitivity of the proposed controller is analyzed with parameter variation in inertia, permanent magnet flux, resistance and inductance of the motor. From the results, it is evident that the proposed controller is more stable and outperforms the other considered controllers in all performance aspects.

Keywords: ANFIS, BLDC motor, fuzzy PID, lyapunov stability, nyquist stability, PID, super twisting sliding mode controller.

Graphical Abstract