• Sudipta Mitra
• Bidisha Roy
• Jayita Sarkar
• Emily Datta
• Nabanita Chatterjee

In this paper, different Particle Swarm Optimization (PSO) based optimal designs for Proportional-Integral-Derivative (PID) controller parameters in an Automatic Voltage Regulator (AVR) system have been compared. Integral of Time-Weighted-Squared-Error (ITSE) criteria has been considered for checking the performance of control systems. First Classical Particle Swarm Optimization (CPSO) is applied for determining the step response characteristics of optimal PID controller parameters in an AVR system. Then Natural Exponent Inertia Weight (NEIW) algorithm and Moderate Random Search PSO (MRPSO) algorithm are used to reach the optimal PID controller parameters in order to improve the step response of automatic voltage regulator. Conducted simulations show the effectiveness and the efficiency of the proposed MRPSO approach

CPSO, NEIW, MRPSO, PID Controller, AVR, Integral of Squared Error (ISE), Integrated Absolute Error (IAE), Integral of Time-weighted Squared Error (ITSE), Overshoot Method

"Comparison of PID Tuning by Different PSO Algorithms for an AVR System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.j664-j668, May-2022, Available :http://www.jetir.org/papers/JETIR2205A88.pdf

"Comparison of PID Tuning by Different PSO Algorithms for an AVR System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppj664-j668, May-2022, Available at : http://www.jetir.org/papers/JETIR2205A88.pdf