Journal of Electrical Engineering and Automation
IRO Journals
Volume 5 — Issue 1 — March 2023

Optimized Boost Converter Controller Design using QBGA for R-Load

https://doi.org/10.36548/jeea.2023.1.009
Reeba Rex S
Associate Professor, Department of ECE, Lourdes Matha College of Science and Technology, Kuttichal
Pravin Rose T
Associate Professor, Department of EEE, Vidya Academy of Science and Technology, Trivandrum, India
Amudaria S
Assistant Professor, Department of CSE, Arunachala College of Engineering for Women, Manavilai
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How to Cite

S, Reeba Rex, Pravin Rose T, and Amudaria S. 2023. “Optimized Boost Converter Controller Design Using QBGA for R-Load”. Journal of Electrical Engineering and Automation 5 (1): 121-33. https://doi.org/10.36548/jeea.2023.1.009.
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Keywords

— Queen Bee Genetic Algorithm (QBGA)
— PID
— Integral Square Error (ISE)
— Integral Time Absolute Value Error (ITAE) and (Integral Absolute Error) IAE
Published: 06-05-2023

Abstract

A DC-DC boost converter is used for providing stabilized output to the variation in R-load. In this research, a suitable controller which can be practically realized for DC-DC boost converter has been designed. Moreover, an optimization technique that possesses simple implementation, better convergence quality and enhanced computational ability has been developed. The PID controller parameters are tuned optimally using various optimization algorithms for enhancing the dynamic response of the converter in the presence of R-load. Tuning the PID controller parameters using QBGA algorithms enhances the efficiency of about 80% with R-load. Furthermore, the technique's effectiveness is demonstrated in terms of settling time, rise time, overshoot, peak time, integral absolute error, integral time absolute value error, and integral square error.

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