Stability and Performance Analysis of ANFIS Tuned PID Based Speed Controller for Brushless DC Motor

Title:Stability and Performance Analysis of ANFIS Tuned PID Based Speed Controller for Brushless DC Motor

Volume: 13 Issue: 1

Author(s): K. Premkumar*B.V. Manikandan

Affiliation:

• Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Chennai, Tamilnadu,India

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

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.

Cite this article as:

Premkumar K.*, Manikandan B.V., Stability and Performance Analysis of ANFIS Tuned PID Based Speed Controller for Brushless DC Motor, Current Signal Transduction Therapy 2018; 13 (1) . https://dx.doi.org/10.2174/1574362413666180226105809