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.
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