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

IEEE Access

Dhafer J. Almakhles¹  Mahajan Sagar Bhaskar¹  Umashankar Subramaniam¹  Surya Varchasvi Devaraj²  Sharmeela Chenniappan³  Manavaalan Gunasekaran⁴  Manikandan Venugopal⁴  Elango Sundaram⁴ 

[1] Department of Communications and Networks, College of Engineering, Renewable Energy Laboratory, Prince Sultan University, Riyadh, Saudi Arabia;Department of Electrical Engineering, Indian Institute of Technology at Bombay, Bombay, India;Department of Electrical and Electronics Engineering, College of Engineering Guindy, Anna University, Chennai, India;Department of Electrical and Electronics Engineering, Faculty of Engineering, Coimbatore Institute of Technology, Coimbatore, India;

关键词: Boost converter;    non-minimum phase system;    QBGA;    fractional order PID controller;   

DOI  :  10.1109/ACCESS.2021.3092215

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown