Multi Quadrant Operation of Brushless Direct Current Motor Drive with PI and Fuzzy Logic Controllers

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Author(s)

B.V. Arun Kumar 1,* G V Marutheswar 1

1. Department of Electrical and Electronics Engineering, Sri Venkateswara University College of Engineering, SV University, Tirupati, Andhrapradesh, India-517502.

* Corresponding author.

DOI: https://doi.org/10.5815/ijieeb.2019.03.04

Received: 3 Jan. 2019 / Revised: 1 Feb. 2019 / Accepted: 20 Feb. 2019 / Published: 8 May 2019

Index Terms

BLDC motor, Fuzzy Logic controller (FLC), Multi quadrant operation, FPGA

Abstract

This paper presents that the simulation of control of three phase Brushless Direct Current (BLDC) motor in all four quadrants with PI and Fuzzy Logic controllers (FLC). Traditionally the speed control of motors is carried out by conventional motors with using P, PI, PID and some other control techniques [5]. But it provides a chance to occurrence of nonlinearity & uncertainties that causes some internal and external parameter errors. The efficient speed control in four quadrant operation can be achieved by using a fuzzy logic controller. The improvisation of Brushless Direct current motor drive through fuzzy logic controller in all four quadrants is done using simulink/MATLAB [7].

Cite This Paper

B.V. Arun Kumar, G V Marutheswar, "Multi Quadrant Operation of Brushless Direct Current Motor Drive with PI and Fuzzy Logic Controllers", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.11, No.3, pp. 25-32, 2019. DOI:10.5815/ijieeb.2019.03.04

Reference

[1]R.Krishnan and A. J. Beutler, “Performance and design of an axial field permanent magnet synchronous motor servo drive,” in Proc. IAS Annu. Meeting, pp. 634-640, 1985.
[2]Sim power Systems for use with Simulink, user‟s guide, Math Works Inc., Natick, MA, 2002. Math Works, 2001, Introduction to MATLAB, the Math Works, Inc. 6. T.J.E. Miller, “Brushless Permanent Magnet & Reluctance Motor Drives” Clarendon Press, Oxford, Vol.2, pp: 192- 199, 1989
[3]Zhen-Yu Zhao. 1993. Masayoshi Tomizuka and Satoru Isaka Fuzzy Gain Scheduling of PID controllers. IEEE transactions on systems, man and cybernetics. 23(5).
[4]P. Pillay and R. krishnan. 2002. Modelling simulation and analysis of a Permanent magnet brushless Dc motor drive. IEEE trans. Ind Applicant. 26: 124-129.
[5]Chung-Wen Hung, Jen-Ta Su, Chih-Wen Liu, ChengTsung Lin and Jhih-Han Chen. 2010. Fuzzy Gain Scheduling PI controller for Sensorless four switches three phase BLDC motor. IEEE 978-1-4244-47831/10.
[6]Ji Hun, Li Zhiyong. 2008. Simulation of Sensorless Permanent magnetic brushless DC motor control System. Proceedings of the IEEE International conference on automation and logistics. September, Quigdao, China.
[7]N. J. Patil, R. H. Chile and L. M. Waghmare. 2010. Fuzzy Adaptive Controllers for Speed Control of PMSM Drive. International Journal of Computer Applications (0975 - 8887). 1(11).
[8]George K. I. Mann, Bao-Gang Hu and Raymond G. Gosine. 1999. Analysis of Direct Action Fuzzy PID Controller Structures. IEEE transactions on systems, man, and cybernetics-part b: cybernetics. 29(3).
[9]C.Hua and S.J.Kao,“Design and implementation ofregenerativebrakingsystemforelectricbicyclesbasedonDSP,”inProc.6thIEEEConf.IndustrialElectron.pplications,Beijing,2011,pp.703–707.
[10]W. Cui, H. Zhang, Y.-L. Ma, and Y.-J. Zhang, “Regenerative braking control method and optimal scheme for electric motorcycle,” in Proc. Int. Conf. Power Engineering, Energy and Electrical Drives, Spain, 2011, pp. 1–6.
[11]J. Li, H. Zhang, Q. Wan, J. Liu, and H. Zhang, “A novel charging control for flywheel energy storage system based on BLDC motor,” in Proc. Asia Paci fic Power and Energy Engineering Conference (APPEEC), China, Mar. 2010, pp. 1–3. [12] M. K. Yoong, Y. H. Gan, G. D. Gan, C. K. Leong, Z. Y. Phuan, B. K. Cheah, and K. W. Chew, “Studies of regenerative braking in electricvehicle,”inProc.IEEEConf.SustainableUtilizationDevelopment Eng. Technol., Malaysia, Nov. 2010, pp. 40–45.
[12]M. K. Yoong, Y. H. Gan, G. D. Gan, C. K. Leong, Z. Y. Phuan, B. K. Cheah, and K. W. Chew, “Studies of regenerative braking in electricvehicle,”inProc.IEEEConf.SustainableUtilizationDevelopment Eng. Technol., Malaysia, Nov. 2010, pp. 40–45.