NDLI: Voltage regulation enhancement in a Buck type DC-DC converter using queen bee evolution based Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Khan N, T. Sundareswaran, K.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Electr. Eng., Indian Inst. of Technol., Assam, Guwahati, India (Khan N, T.) \|\| Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Tiruchirappalli, India (Sundareswaran, K.)
Abstract	Buck converters are employed in several applications such as laptops, switched mode power supply, electronic gadgets, battery charging and communication networks. In order to have good regulation of capacitor voltage, Buck converters are generally provided with a feedback control mechanism. Since the converter dynamics changes from ON time period to OFF time period of the power electronic switch, the traditionally designed feedback controller provides only near-satisfactory voltage regulation. Aiming to obtain a more robust controller, which can track the desired voltage profile over large domain of operating points, the controller design for the feedback control of Buck DC-DC converter is constructed as an optimization problem and then the solution is acquired through a recently developed optimization technique known as queen bee evolution based Genetic Algorithm. The theoretical notions and implementation of the proposed methodology towards the search of a robust feedback control parameters for Buck converters are discussed in this paper. Extensive simulation and experimental studies under the presence of eventualities like matched and mismatched uncertainties are compared with conventional Genetic Algorithm, which thereby confirms the validity of the new approach.
Starting Page	1
Ending Page	6
File Size	479227
Page Count	6
File Format	PDF
ISBN	9781479960453
e-ISBN	9781479960460
DOI	10.1109/IICPE.2014.7115836
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buck converter optimization Switches Proportional-Derivative-Integral (PID) Controller queen bee Linear programming Unmanned aerial vehicles Genetic Algorithm (GA) Voltage control Optimization Genetic algorithms Load modeling
Content Type	Text
Resource Type	Article

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