Fuzzy Logic based PID Controller Tuning for Speed Control of DC Servo Motor

EasyChair Preprint no. 4056

Abstract

The principle target of the present work is to compare and analyze the performance of conventional PID controller and Adaptive Fuzzy-PID controllers for the purpose of speed control of separately excited DC motor. The adaptive Fuzzy- PID controller acts like a gain scheduler that has been designed using twenty five fuzzy set rules. The adapted rule comprises of Gaussian membership function for the input and trapezoidal membership function for the output. The target of this work is to examine the performance of controllers in time domain and frequency domain under no load and impact load conditions. Performance indices namely ISE and ITAE have been adopted to assess viability of the controllers. The results are indicative that adaptive Fuzzy-PID controller exhibits superlative attributes during transient and frequency domain analysis.

Keyphrases: adaptive fuzzy-PID, DC motor, Fuzzy Logic, PID controller

@Booklet{EasyChair:4056,
  author = {Raj Kumar Mishra and Srishti Singh and Md. Asif Hasan},
  title = {Fuzzy Logic based PID Controller Tuning for  Speed Control of DC Servo Motor},
  howpublished = {EasyChair Preprint no. 4056},

  year = {EasyChair, 2020}}