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

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 tim...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.93331-93337
Main Authors: Devaraj, Surya Varchasvi, Gunasekaran, Manavaalan, Sundaram, Elango, Venugopal, Manikandan, Chenniappan, Sharmeela, Almakhles, Dhafer J., Subramaniam, Umashankar, Bhaskar, Mahajan Sagar
Format: Article
Language:English
Subjects:
Bees
Boost converter
Circuit stability
Control stability
Controllers
Energy conversion efficiency
fractional order PID controller
Genetic algorithms
Integrated circuit modeling
non-minimum phase system
Optimization
Parameter robustness
Power converters
Proportional integral derivative
QBGA
Robust control
Robustness
Time response
Tuning
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Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3092215