TIDF Controller for Optimal Performance of the Automatic Voltage Regulator

Abstract

This work mainly focused on the development of the controller for performing the automatic voltage regulation (AVR) action in the most optimal way. In this regard, the tilt-integral-derivative-filter (TIDF) controller is suggested in this work. Moreover, the controller TIDF requires soft computing methodologies for its optimal functioning, and hence the donkey and smuggler optimization algorithm (DSOA) is conceived. However, the efficacy of the TIDF is demonstrated with the other controllers that emerged from the background of intelligence and fractional calculus. Further, the dominance of DSOA is also established with other soft computing techniques. The optimization of TIDF using DSOA is performed under the integral square error (ISE) index, and a comparative analysis is made among the several time domain indices to establish its dominance. Finally, the simulation analysis revealed the overall efficacy of the DSOA-tuned TIDF controller under the ISE criteria and confirmed the optimal AVR performance.