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

被引：11

作者：

Devaraj, Surya Varchasvi ^{[1
]}

Gunasekaran, Manavaalan ^{[2
]}

Sundaram, Elango ^{[2
]}

Venugopal, Manikandan ^{[2
]}

Chenniappan, Sharmeela ^{[3
]}

Almakhles, Dhafer J. ^{[4
]}

Subramaniam, Umashankar ^{[4
]}

Bhaskar, Mahajan Sagar ^{[4
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Bombay 400076, Maharashtra, India

[2] Coimbatore Inst Technol, Fac Engn, Dept Elect & Elect Engn, Coimbatore 641014, Tamil Nadu, India

[3] Anna Univ, Coll Engn Guindy, Dept Elect & Elect Engn, Chennai 600025, Tamil Nadu, India

[4] Prince Sultan Univ, Coll Engn, Dept Commun & Networks, Renewable Energy Lab, Riyadh 11586, Saudi Arabia

来源：

IEEE ACCESS | 2021年 / 9卷

关键词：

Robustness; Optimization; Integrated circuit modeling; Tuning; Genetic algorithms; Licenses; Circuit stability; Boost converter; non-minimum phase system; QBGA; fractional order PID controller;

D O I：

10.1109/ACCESS.2021.3092215

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：93331 / 93337

页数：7

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