Modeling and Performance Analysis of GF Algorithm Based Controller for Quasi-Resonant Converter

M. Ranjani(1*), P. Murugesan(2)

(1) Sathyabama University, Chennai, India
(2) S. A Engineering College, Chennai, India
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


This paper presents a comparative harmonic analysis between a ZCS- QRC and ZVS-QRC topologies fed dc drive that uses a genetic fuzzy controller. The advantages of the different topologies employing MOSFET’s are presented. This operation employing genetic fuzzy controller can reduce the harmonic distortion and improves the performance of the drive when compared with the conventional control methods. The main objective of this work is to obtain reduced transient response, reduced switching stresses and switching losses which in turn enhances the efficiency and commutation capability of motor.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Genetic Fuzzy Algorithm (GFA); Fuzzy Logic Controller (FLC); Zero Current Switching Quasi-Resonant Converter (ZCS-QRC); Zero Voltage Switching Quasi-Resonant Converter (ZVS-QRC); Genetic Algorithm (GA); Total Harmonic Distortion (THD); Direct Current (DC)

Full Text:

PDF


References


Ned Mohan et.al, Power electronics converters, Application and Design, John Wiley and Sons, 1995.

K.H. Liu and F.C. Lee, Zero- voltage switching technique in DC converters, IEEE Trans. Power Electron,1990, Vol. 5. No.3. pp. 293-304.

S.Rama Reddy, A.Lakshimikant, V.Baburaj C.Chellamuthu, A step down frequency modulated Zero currcnl switching QRC fcd DC drive, ETEP Joumal, Ref. No.ET-1088, Germany.

A. L. Elshafei and F. Karray, Variable-structure-based fuzzy-logic identification of a class of nonlinear systems, IEEE Trans. Control Syst.Technol.,2005 vol. 13, no. 4, pp. 646–653.

F. Betin, A. Sivert, A. Yazidi, and G. Capolino, Determination of scaling factors for fuzzy logic control using the sliding-mode approach: Application to control of a dc machine drive, IEEE Trans. Ind. Electron., Feb.2007 vol. 54,no. 1, pp. 296–309.

P. Baranyi, A. R. Varkonyi-Koczy, Y. Yam, and R. J. Patton, Adaptation of TS fuzzy models without complexity expansion: HOSVD based approach, IEEE Trans. Instrum. Meas., Feb.2005, vol. 54, no. 1, pp. 52–60.

M. Cheng, Q. Sun, and E. Zhou , New self-tuning fuzzy PI control of a novel doubly salient permanent-magnet motor drive, IEEE Trans. Ind.Electron., June.2006, vol. 53, no. 3, pp. 814–821.

C.-F. Juang and J.-S. Chen, Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation, IEEE Trans. Ind.Electron.,June.2006, vol. 53, no. 3, pp. 941–949.

Balestroni.A, Landi.A, and Sani..L, Cuk converter global control via fuzzy logic and scaling factors, IEEE Trans. Ind. Applic., 2000, 147, 107–112.

F.Betin, D. Pinchon and G.Capolino, Fuzzy logic applied to speed control of a stepping motor drive, IEEE trans.Ind. Electron. Vol.47, no.3.pp.610-622, June 2000

Ibrahim, Z., Isa, S.N.M., Lazi, J.M., Talib, M.H.N., Simplified fuzzy logic speed controller for vector controlled permanent magnet synchronous motor drives, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 104-113.

Bay, O.F., Atacak, I., Real-time implementation of a type-2 fuzzy logic controller on an on-line UPS system, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 10-25.

Arulselvi.S. and Uma Govindarajan.:Real time implementation of modified Fuzzy logic controller for a non linear quasi resonant DC-DC converter, IETE Journal of research,vol 53, No 5,September –October 2007,pp401-416.

Yuan-Chuan Liu and Yaow -Ming Chen, A systematic approach to synthesizing multi-input dc–dc converters, IEEE Trans. Power Electron.,Jan.2009, vol. 24, no. 1.

Yaow -Ming Chen, Yuan-Chuan Liu, and Sheng- sien Lin, Double- Input PWM DC-DC Converter for High-Low-Voltage Sources, IEEE Trans. Ind. Electron.,Oct.2006, vol. 53, no. 5.

G.-R. Yu, R.C. Hwang, and C.-P. Lin, Optimal Fuzzy Control of the Spindle Motor in a CD-ROM Drive Using Genetic Algorithms, Asian Control Conference,2004, vol. 5, pp.51-57.

B. Wu and X. Yu, Fuzzy modeling and identification with genetic algorithm based learning, Fuzzy Sets Syst., Aug.2000, vol. 113, no. 3, pp. 351–365.

K. M. Chow and A. B. Rad, On-line fuzzy identification using genetic algorithms, Fuzzy Sets Syst., Dec.2002, vol. 132, no. 2, pp. 147–171.

S.-K. Oh, W. Pedrycz, and H.-S. Park, A new approach to the development of genetically optimized multilayer fuzzy polynomial neural networks, IEEE Trans. Ind. Electron., June.2006, vol. 53, no. 4, pp. 1309–1321.

Balestroni.A, Landi.A, and Sani..L, Cuk converter global control via fuzzy logic and scaling factors, IEEE Trans. Ind. Applic., 2000, 147, 107–112.

Hamidia, F., Larabi, A., Boucherit, M.S., Speed controller for PMSM drive based on fuzzy logic: Comparison of four techniques, (2012) International Review of Automatic Control (IREACO), 5 (2), pp. 195-201.

Chang, W.-Y., Application of fuzzy C-means clustering approach and genetic algorithm to partial discharge pattern recognition, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 5213-5220.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2021 Praise Worthy Prize