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Improving the Performance of Buck Converter PID Controller using Genetic Algorithm
Technical Paper
2013-01-2874
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
DC/DC converters are switching regulator specially used for voltage level conversion application, and one of crucial entity for fuel cell. In absence of which fuel cell real world application is difficult to conceive. Numerous works have been contributed using PID controller to regulate the output voltage and improve DC/DC converter dynamic performance. Due to switching operation, nonlinearity causes complexity in DC/DC converter control. In present article, PID controller optimization for a DC/DC buck converter is devised specifically for fuel cell application. Linearization and averaging technique is employed to generate State Space Average Model (SSAM) of DC/DC buck converter. PID controller weight factor's reference value i.e. Kp, Ki and Kd are selected based on values obtained by traditional Ziegler-Nichols method. Fine-tuning of PID weight factors are accomplished using Genetic Algorithm. Based on system step response suitable performance-measuring function has been selected, for Genetic Algorithm. Finally, tuned PID controller is applied to the DC/DC buck converter circuit model in consideration of fuel cell. All the simulation and optimization have been completed using MATLAB/SIMULINK. Result of simulation shows the much-improved dynamic performance of DC/DC buck converter with proposed method compare to traditional method.
Citation
Hussain, N., V, J., and Abraham, M., "Improving the Performance of Buck Converter PID Controller using Genetic Algorithm," SAE Technical Paper 2013-01-2874, 2013, https://doi.org/10.4271/2013-01-2874.Also In
References
- Shuo Tian , Yuan LIU and Wenchuan XIA Advanced ECU Software Development Method for Fuel Cell Systems Tsinghua Science and Technology 10 5 October 2005 610 617
- University of Waterloo Develops Award-Winning Fuel Cell Technology Using Math Works Products for Model-Based Design http://www.mathworks.cn/company/user_stories/userstory11068.html 2005
- Patella Benjamin J. , Prodic Aleksandar and Zirger Art High-Frequency Digital Controller IC for DC/DC Converters IEEE 2002 374 380
- The design of PID Controllers using Ziegler Nichols Tuning Brain R Copeland March 2008
- zaitu Rick Voltage Mode Boost Converter small Signal Control Loop Analysis Using the TPS61030 Application Report-may 2007, Texas Instruments
- Aldo B. , Corsanini D. , Landi A. , and sani L. Circle based Criteria for performance evaluation of controlled DCDC switching Converters IEEE Trans. Ind. Electron 53 6 1862 1869 Dec. 2006
- Saggini S. , Trevisan D. and Mattavelli P. Hysteresis-Based Mixed-Signal Voltage-Mode Control for dc-dc Converters IEEE Power Electronics Conference 2007 (PESC'07) Orlando, Florida June 2007
- Mattavelli P. , Rossetto L. , Spiazzi G. , and Tenti P. General-purpose sliding-mode controller for dc/dc converter applications IEEE Power Electronics Specialists Conf. Rec. (PESC) 1993 609 615
- Shinskey F. G. Process Control System: Application, Design and Tuning McGraw-Hill 4th 1996
- Astrom K. and J. , Wittenmark B. Adaptive Control Addison Wesley 2 nd 1995
- Krohling R. A. and Rey J. P. Design of optimal disturbance rejection PID controllers using genetic Algorithm IEEE Trans. Evol. Compute. 5 78 82 Feb. 2001
- Mitchell , M. An Introduction to Genetic Algorithms Massachusetts Institute of Technology MIT Press 0-262-13316-4 1999
- Martinez F. and Castiblanco M. Increase the Boost Converter Performance using Genetic Algorithms The Online Journal on Electronics and Electrical Engineering W09 0033 January 2010