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A Comparative Analysis of PID Controller Design for AVR Based on Optimization Techniques

  • Ishita Uniyal
  • Afzal Sikander
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

In this study, an analytic comparison of the design for PID controller based on automatic voltage regulator (AVR) has been presented. The design of proportional-integral-derivative (PID) controller is categorized on the basis of optimization techniques inspired by nature. The objective has been achieved by taking some famous optimization techniques into consideration. These techniques are teaching–learning-based optimization (TLBO), bacterial foraging optimization algorithm (BFO), CAS (chaotic ant swarm), genetic algorithm (GA) and particle swarm optimization (PSO). Each method has been executed ten times with the same data set, and comparative analysis has been done in terms of transient and steady-state characteristics. The present study identifies the best optimization technique among various techniques to design PID controller for AVR.

Keywords

PID controller Automatic voltage regulator Optimization 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringGraphic Era UniversityDehradunIndia

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