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Robust Queen Bee Assisted Genetic Algorithm (QBGA) Optimized Fractional Order PID (FOPID) Controller for Not Necessarily Minimum Phase Power Converters

Authors :
Surya Varchasvi Devaraj
Manavaalan Gunasekaran
Elango Sundaram
Manikandan Venugopal
Sharmeela Chenniappan
Dhafer J. Almakhles
Umashankar Subramaniam
Mahajan Sagar Bhaskar
Source :
IEEE Access, Vol 9, Pp 93331-93337 (2021)
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Power electronic converters find application in diverse fields due to their high power conversion efficiency. Converters are often characterized by time response specifications, robustness and stability. Conventionally, converters employ the classic PID controller. The state space average linear time invariant model of a boost converter is known to be a non-minimum phase system. This paper demonstrates that the boost converter with a PID controller using the Queen Bee assisted Genetic Algorithm (QBGA) optimization is not robust to plant parameter variations. A fractional order PID controller based on QBGA optimization proposed here is shown to have improved robustness. The controller proposed here is applicable across converters, viz., buck, boost and buck-boost, equally.

Details

Language :
English
ISSN :
21693536
Volume :
9
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.7b5a637135447bae6918a3c5329f9e
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2021.3092215