Quasi Z-Source DC/DC Converter Fed Drive with Genetic Fuzzy Controller

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In this paper, a new approach to define the optimal values of scaling factors, membership functions and rules for fuzzy logic controller based on parameter tuning by genetic algorithm has been proposed. Indeed, these factors are chosen in such a way to obtain good and dynamic response of angular velocity of the dc motor employed. This approach was first tested in simulation to control the speed response by implementing the program in Matlab function to optimize the various fuzzy logic parameters. This algorithm has been successfully applied to control the speed of Quasi Z-Source DC/DC converter driven dc motor with good dynamic and robust response.
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Fuzzy Logic Controller (FLC); Quasi Z-Source DC/DC Converter (qZSC); Genetic Algorithm (GA); Integral Absolute Error (IAE); Direct Current (DC)

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Sarhan, H.S., Issa, R.H., Alia, M.A., Al-Abbas, I.K., Precision speed control of DC motor drive system, (2012) International Review of Automatic Control (IREACO), 5 (5), pp. 673-676..

J. Linares-Flores and H. Sira-Ramirez, A smooth starter for a dc machine: a flatness based approach, Proceedings of 1st International Conference on Electrical and Electronics Engineering and X Conference on Electrical Engineering, 2004, pp. 589-594.

J. Linares-Flores and H. Sira-Ramirez., Dc motor velocity control through a dc-to-dc power converter, Proceedings of 43rd Conference on Decision and Control (CDC), 2004, pp.5297-5302

L. Guo, Implementation of digital PID controllers for dc-dc converters using digital signal processors, Proceedings of IEEE EIT, 2007, pp.306-311.

Jahanmahin, M., Hajihosseinlu, A., Afjei, E., Review and comparing of conventional buck, boost and buck-boost Dc to Dc converters with their interleaved topology via equations, simulation and experimental results, (2012) International Review of Automatic Control (IREACO), 5 (3), pp. 405-413.

J. C. Han and P. N. Enjeti, A new soft switching direct converter for residential fuel cell power system, in Conf. Rec. 39th IEEE IAS Annu. Meeting, Oct. 3–7, 2004, vol. 2, pp. 1172–1177.

R. Sharma and H. Gao, A new DC-DC converter for fuel cell powered distributed residential power generation systems, in Proc. 21st Annu. IEEE APEC, Mar. 19–23, 2006, pp. 1014–1018.

K. Sternberg and H. Gao, A new DC/DC converter for solid oxide fuel cell powered residential systems, in Proc. 34th IEEE IECON, Nov. 10–13, 2008, pp. 2273–2277.

M. Nymand and M. Andersen, High efficiency isolated boost DC- DC converter for high-power low-voltage fuel cell applications, in IEEE Trans. Ind. Electron., Feb. 2010, vol. 57, no. 2, pp. 505–514.

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

Zhang.H.L, HU A J, LI J, et al,Fuzzy PI Speed control of Brushless DC motor, Journal of Kunming University of Science and technology (Natural Science Edition) 2007,32 (2):52-55

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.

K. Viswanathan, D. Srinivasan, R. Oruganti. 2002. A Universal Fuzzy controller for Non-Linear Power electronic Converters Fuzzy Systems: IEEE’02 Conf. Rec. pp. 46-51.

Elham Ataei, Rouhollah Afshari, MohammadAli Pourmina, Fuzzy Logic Control of a Multifingered Hand Robot Using Genetic Algorithm Based on DSP, (2011) International Review of Automatic Control (IREACO), 4 (6), pp. 963-968.

Goldberg D, Genetic Algorithms in Search, Optimization and Machine Learning,( Addison-Wesley 1989).

Yi-Sheng Zhou and Lin-Ying Lai, Optimal design for fuzzy controllers by genetic algorithms, IEEE Transactions on Industry Applications, vol.36, no.1,pp.93-97,Jan –Feb 2000

Jie Xiu, Changliang Xia and Hongwei Fang, GA-based adaptive Fuzzy logic controller for Switched Reluctance Motor drive, Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21-23, 2006, Dalian, China.

Liu, P., Liu, H., Guo, Q., DSP based voltage and current modes control of the quasi-z-source inverters for electric vehicles, (2012) International Review of Electrical Engineering (IREE), 7 (5), pp. 5577-5586.


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