Google Scholar

##plugins.themes.academic_pro.article.sidebar##

Published
May 31, 2014
Download
PDF
Statistic
Read Counter : 67 Download : 128

Downloads

Download data is not yet available.

##plugins.themes.academic_pro.article.main##

Abstract

the proposed project reveals the FPGA based Sensor-less speed control of permanent magnet synchronous motor (PMSM) by using adaptive fuzzy logic technique. The FPGA scheme integrates Fuzzy logic control technique and space vector pulse width modulation principle to control the rotor position angle and motor speed. The Back-EMF based Sensor-less algorithm combined with vector control strategy implemented to estimate rotor position and speed. This control algorithm based on estimation of rotor position and speed with respect to Back-EMF without sensor. To achieve a high performance fuzzy logic control Permanent magnet synchronous motors drive is employed. The simulation for speed control of PMSM by using fuzzy logic controller is developed using Xilinix ISE 9.1.

##plugins.themes.academic_pro.article.details##

Author Biographies

Shiny Arpudha J, PGP College of Engineering and Technology

PG Scholar

M.Ragulkumar* R.Govindarajulu**, Department of Electrical and Electronics Engineering** Department of Electronics and Communication Engineering*

Assistant Professor/EEE**

PG Scholar*

How to Cite
J, S. A., & R.Govindarajulu**, M. (2014). Adaptive Fuzzy Logic Based Speed Control of Permanent Magnet Synchronous Motor Using FPGA. International Journal of Emerging Trends in Science and Technology, 1(03). Retrieved from http://igmpublication.org/ijetst.in/index.php/ijetst/article/view/114

References

[1] Y. Da, X. Shi, M. Krishnamurthy, ”A Novel Universal Sensor Concept for Survivable PMSM Drives”, IEEE Transactions on Power Electronics., Issue:99, March 2013.
[2] K. Liu, Z. Zhu, D. Stone,”Parameter Estimation For Condition Monitoring of PMSM Stator Winding and Rotor Permanent Magnets”, IEEE Transactions on Industrial Electronics, Issue: 99, Jan 2013.
[3] HanHoChoi, Viet Quoc Leu, JinWooJung, “Fuzzy Sliding Mode Speed Controller for Permanent Magnet Synchronous Motors with a Load Torque Observer”, IEEE Transactions on Power Electronics, Vol. 27, no. 3, Pg: 1530-1539 March 2012.
[4] J. Solsona, M.I.Valla, and C.Muravchik, “Nonlinear control of a permanent magnet synchronous motor with disturbance torque estimation”, IEEE Trans. Energy Conversion., vol. 15, no. 2, Pg: 163–168, Jun 2010.
[5] S. Li and Z. Liu, “Adaptive speed control for permanent magnet synchronous motor system with variations of load inertia”, IEEE Trans. Ind .Electron, Issue: 56, Vol no. 8, Pg: 3050–3059, Nov 2009.
[6] J. Lee, J. Hong, K. Nam, R. Ortega, L. Praly, and A. Astolfi, "Sensor less control of surface-mount permanent-magnet synchronous motors based on a nonlinear observer", IEEE Trans. Power Electron., vol. 25, no. 2, pp. 290-297, Feb. 2010.
[7] Ying-Shieh Kung; Ming-Hung Tsai, "FPGA-Based Speed Control IC for PMSM Drive With Adaptive Fuzzy Control", Power Electronics, IEEE Transactions on , vol.22, no.6, pp.2476,2486, Nov. 2007.
[8] Ying-Shieh Kung; Ming-Hung Tsai; Chia-Sheng Chen, "FPGA-based Servo Control IC for PMLSM Drives with Adaptive Fuzzy Control", Industrial Electronics and Applications, 2006 1ST IEEE Conference on , vol., no., pp.1,6, 24-26 May 2006.
[9] Ying-Shieh Kung; Chung-Chun Huang; Ming-Hung Tsai, "FPGA Realization of an Adaptive Fuzzy Controller for PMLSM Drive," Industrial Electronics, IEEE Transactions on , vol.56, no.8, pp.2923,2932, Aug. 2009.
[10] Nguyen Vu Quynh, Ying-Shieh Kung, Lam Thanh Hien,“Robustness of Adaptive Fuzzy for PMSM Sensorless Speed Controller”, Journal of Automation and Control Engineering Vol. 1, No. 3, September 2013.
[11] Alecsa, B.; Cirstea, M.N.; Onea, A., "Simulink Modeling and Design of an Efficient Hardware-Constrained FPGA-Based PMSM Speed Controller," Industrial Informatics, IEEE Transactions on, vol.8, no.3, pp.554, 562, Aug. 2012.
[12] Daijin Kim,” An Implementation of Fuzzy Logic Controller On The Reconfigurable FPGA System”, IEEE Transactions on Industrial Electronics, vol. 47, no.3, June 2000 703.