PSO – ACO PID Techniques for stability enhancement

Prabha Thakur , Jaya Mishra , Chaman Yadav , Kushal Tiwari

AVR system, Feedback System, Optimization, PID controller, PSO and ACO.

This paper Present to design method for determining the optimal proportional-integral-derivative (PID) controller parameters of an Automatic Voltage Regulator (AVR) system using the particle swarm optimization (PSO) algorithm and Ant Colony Optimization(ACO). The design goal is to minimize transient response by minimizing overshoot, settling time and rise time of step response. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. Fast tuning of optimum PID controller parameters yields high-quality solution. First an objective function is defined, and then by minimizing the objective functions using real-coded ACO and PSO, the optimal controller parameters can be assigned. Compare the result of step response of AVR system by using Particle Swarm Optimization (PSO) and Ant Colony Optimization(ACO). The obtained result of the closed loop PSO-PID and ACO-PID controller response to the unit step input signal shows excellent performance of the PID controller.

Published Paper   E-Certificate

"PSO – ACO PID Techniques for stability enhancement", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.3, Issue 6, page no.64-66, June-2018, Available :https://ijnrd.org/papers/IJNRD1805013.pdf

Volume 3 Issue 6, June-2018

Pages : 64-66

Paper Reg. ID: IJNRD_180097

Published Paper Id: IJNRD1805013

Downloads: 000118848

Research Area: Engineering

Country: BALOD, CHHATTISHGARH, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1805013

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1805013

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition