PSO – ACO PID Techniques for stability enhancement

Registration ID: IJNRD_180097

Published ID: IJNRD1805013

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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

Prabha Thakur, Jaya Mishra, Chaman Yadav, & Kushal Tiwari (June-2018). PSO – ACO PID Techniques for stability enhancement. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 3(6), 64-66. 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: 000122015

Research Area: Engineering

Author Type: Indian Author

Country: BALOD, CHHATTISHGARH, India

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

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

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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