Performance Evaluation of Switched Reluctance Motor PWM Control in PV-fed Water Pump System
Abstract
Variable speed drives for PV-fed water pumping system (WPS) in rural areas are of promising for economic and social growth. Being more economical without the hassles of winding and permanent magnets on rotor switched reluctance motor (SRM) is emerging as an attractive option in variable speed drives. Such a system demands for a suitable controller with simple and reduced components. This paper presents the essence of SRM PWM technique over single pulse mode in PV-fed WPS. Performance characteristics such as: torque ripple, phase peak current and DC-link current of the SRM PWM technique tested at various insolation levels are presented in this study. These performance assertions reveal that the PWM technique of SRM outweighs single pulse mode (SPM) SRM control in PV-fed WPS with reduced torque ripple, reduced peak currents and reduced current gradients. For this study, a 2.2kW 8/6 SRM has been used to build a look-up table based simulation model for SRM in Matlab/Simulink. The system is then implemented using high parallel computing FPGA Spartan 3AN board.
Keywords
Full Text:
PDFReferences
Singh D, Sharma N.K, Sood Y.R and Jarial R.K, “Global status of renewable energy and market: Future prospectus and targetâ€, Proc. Int. Conf. IET Sustainable Energy and Intelligent Systems, Chennai, pp.171-176, July 2011.
Arjun P. Gupta and Jayant S, “Electrifying Indiaâ€, IEEE Power and Energy Magazine, Vol. 7, No. 5, pp. 53-61, 2009.
Kamalapur G. D and Udaykumar R. Y, “Rural electrification in India and Pre-sizing of solar home systemsâ€. IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS), Trivandrum, pp. 13-18 Sep. 2014.
Anindita Roy, A. Rathod and G.N. Kulkarni, “Challenges to Diffusion of Small Wind Turbines in Indiaâ€, 2nd IET Renewable Power Generation Conference (RPG 2013), Beijing, pp. 1-4, Sep. 2013.
Gilbert A. McCoy, “Super Premium Efficiency Motors are Now Availableâ€, Energy Efficiency Factsheet, Washington State University. Extension Energy Program, pp. 1-5, Dec 2010.
Vacon, “'White paper: New energy efficient motor technologiesâ€, Finland
http://www.vacon.com/ImageVaultFiles/id_6754/cf_2/Vacon_White_paper.PDF?635439735147600000
Andrada P, BlanqueÌ B, MartiÌnez E, Perat J.I, SaÌnchez J.A, Torrent M, “Environmental and life cycle cost analysis of one switched reluctance motor drive and two inverter-fed induction motor drivesâ€, IET Electric Power Applications, Vol. 6, No. 7, pp. 390-398, 2012.
Deepak Ronanki and P.Parthiban, "PV-Battery Powered Direct Torque Controlled Switched Reluctance Motor Drive", Power and Energy Engineering Conference, Shanghai, pp. 1-4, 2012.
Sweta Belliwali, Aravind Chakravarti and A. B. Raju, "Mathematical Modelling and Simulation of Directly Coupled PV WPS Employing Switched Reluctance Motor", IEEE PES Innovative Smart Grid Technologies, India, pp. 386-390, 2011.
Hamid M. B. Metwally and Wagdy R. Anis, "Performance Analysis Of PV Pumping Systems Using Switched Reluctance Motor Drives", Elsevier Journal on Solar Energy, Vol. 56, No. 2, pp. 161-168, 1996.
K. Vijay Babu, B.L. Narasimharaju, D. M. Vinod Kumar, “Switched Reluctance Machine for Off-Grid Rural Applications: A Reviewâ€, IETE Technical Review, DOI: 10.1080/02564602.2015.1117400, Dec-2015.
T. J. E. Miller, "Electronic Control of Switched Reluctance Machines", Oxford, U.K.: Newnes Power Engineering Series, 2001.
P. Srinivas, P. V. N. Prasad, “PWM Control of Asymmetrical Converter Fed Switched Reluctance Motor Driveâ€, Proceedings of the World Congress on Engineering and Computer Science, Vol. 1, pp. 283-288, 2013.
Hao Chen, Chao Zang, X. Meng, “Variable Angle PWM adjustable-speed control for Switched Reluctance Motor Driveâ€. 9th Intl. Conf. Power Electronics and Motion Control, EPE- PEMC, pp. 209-212, 2000.
Raveendhra D, Kumar R., Singh S, “Performance investigation of FPGA controlled central three-level diode clamped inverter in two-stage solar photo voltaic (SPV) systemâ€. IEEE 2nd International Conference Electrical Energy Systems (ICEES), pp.206-211, 2014.
F.-J. Lin, L.-T. Teng, C.-Y. Chen, Y.-C. Hung, “FPGA-based adaptive back stepping control system using RBFN for linear induction motor driveâ€. IET Electric Power Applications, Vol. 2, No. 6, pp. 325-340, 2008.
Dufour, C, Cense S, Belanger J, “FPGA-based Switched Reluctance Motor Drive and DC-DC converter models for high-bandwidth HIL real-time simulatorâ€, 15th European Conference on Power Electronics and Applications (EPE), pp.1-8, 2013.
Stumpf A, Elton D, Devlin J, Lovatt H, “Benefits of an FPGA based SRM controllerâ€, IEEE 9th Conference on Industrial Electronics and Applications (ICIEA), pp.12-17, 2014.
Amano S, Akatsu K, “Study on high frequency inverter with 100kHz current feedback control by using FPGAâ€, 17th International Conference on Electrical Machines and Systems (ICEMS), pp.3392-3397, 2014.
X. Zhang, Feng Wang, X. Wu, “Low-speed direct-driven sensorless control including zero-speed for switched reluctance motor based on dynamic inductance modelâ€, 17th International Conference on Electrical Machines and Systems (ICEMS), pp.763-767, 2014.
M. Nabil, S.M. Allam, E.M. Rashad, “Modeling and design considerations of a photovoltaic energy source feeding a synchronous reluctance motor suitable for pumping systemsâ€, Ain Shams Engg. Journal, 3, (4), pp.375-382, 2012.
Mukesh Kumar Gupta and Rohit Jain, “MPPT Simulation with DC Submersible Solar Pump using Output Sensing Direct Control Method and Cuk Converterâ€, International Journal Of Renewable Energy Research, Vol.3, No.1, pp. 186-191, 2013.
Immanuel Alphonse, S. HosiminThilagar and F. Bright Singh, “Design of Solar Powered BLDC Motor Driven Electric Vehicleâ€, International Journal Of Renewable Energy Research, Vol.2, No.3, pp. 456-462, 2012.
DOI (PDF): https://doi.org/10.20508/ijrer.v6i3.4004.g6876
Refbacks
- There are currently no refbacks.
Online ISSN: 1309-0127
Publisher: Gazi University
IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);
IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.
WEB of SCIENCE in 2025;
h=35,
Average citation per item=6.59
Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43
Category Quartile:Q4