Evaluation of SMC Synchronous Motor Using Soft Magnetic Compounds and Direct Fuzzy Torque Control
محورهای موضوعی : Electrical Engineering
1 - Electrical Engineering Department, Shahed University, Tehran, Iran
کلید واژه: Soft Magnetic Composites Machines (SMC), soft magnetic compounds, synchronous motor.,
چکیده مقاله :
About 60% of industrial electrical energy is consumed by electric motors. Hence. Extensive efforts have been adopted in order to increase the efficiency of these motors under different operating conditions. Among these motors, the use of three-phase synchronous motors, made of Soft Magnetic Composites (SMC) type, has been growing up in the world during the past decade. The optimal efficiency of these motors is highly sensitive to their mathematical model parameters. In this article, first, the performance of SMC motors is evaluated in detail and the corresponding pros and cons are highlighted in different fields. Then, a mathematical model based on exhaustive simulation, is presented for an SMC motor using Fuzzy Inference Systems (FIS). Given that torque and speed as the outputs, nonlinear methods based on FIS are used. To do so, we assume that only one input at a time can go through the FIS model to account for the input/output relationships. Last but not the least, the parametric model of the motor is cross-evaluated using exhaustive simulation in MATLAB/Simulink.
[1] H.Yuwen, T.Cun, G.Yikang, .Zhiqing, L.X.Tang, M.F.Rahman, "In-depth research on direct torque control of permanent magnet synchronous motor", IEEE 2002 28th Annual Conference of the Industrial Electronics Society, Vol. 2, 5-8 Nov. 2002,Page(s):1060
[2] L.Zhong, M.F.Rahman, W.Y.Hu, K.W.Lim, M.A.Rahman, "A direct torque controller for permanent magnet synchronous motor drives", IEEE Transactions on Energy Conversion, Vol. 14, Issue 3, Sept. 1999 Page(s):637 – 642.
[3] D.Swierczynski, M.P.Kazmierkowski,"Direct torque control of permanent magnet synchronous motor (PMSM) using space vector modulation (DTC-SVM)-simulation and experimental results", IEEE 28th Annual Conference of the Industrial Electronics Society, Vol. 1, 5-8 Nov. 2002 Page(s):751 - 755.
[4] L. Petkovska and G. Cvetkovski S. Cyril and Methodius University Faculty of Electrical Engineering and Information Technologie Karpos II bb, P.O.Box 574 1000, Skopje, Macedonia
[5] Research Report T.A. Lipo, S.M. Madani*, R. White** Soft Magnetic Composites for AC Machines A Fresh Perspective
[6] Yicheng Chen SiemensAtlantayicheng.chen@siemens.com Pragasen Pillay, FIEEE Department of Electrical & Computer Engineering Clarkson University Potsdam, NY 13699-5720, USApillayp@clarkson.edu
[7] V. IANCU, T. CANTA, D.C. POPA, L. SZABÓ Technical University of Cluj-Napoca, 400020 Cluj- Napoca, 15 Daicoviciu, Romania
[5] Brod D.M. “Current control of VSI PWM
Inverter “IEEE Trans. Ind. APPL. Vol.IA. 21, PP. 562-570, May-June 1985.
[6] Huy H. "A self Controlled synchronous Motor Drive Using Terminal Voltage system” IEEE Trans. Ind. APPL. Vol. IA 18. No.1, PP. 46-53, Jun - Feb, 1982
[7] Cornell E.P. and No votni D.W, “Commutation by Armature Induced Voltage in self-controlled synchronous Machines ", IEEE Trans. Ind. APP. Vol.A. 20. PP. 760-766, Feb, 1979
[8] Rashid M.H.: “Power Electronics”, Prentice – Hall, New jersey 1988
[9] L. Zhong, M. F. Rahman, W. Y. Hu, K. W. Lim, “Analysis of direct torque control in permanet magnet synchronous motor drives”, IEEE Transactions on Power Electronics, vol.12, no.3, pp. 528-536, 1997.
[10] Siemens AG, “Permanent magnet excited synchronous motor”, Siemosyn Motor Catalog DA•48, 2003.
[11] Soltani, C. salvation, the "three-phase salient pole synchronous motor vector control with pulse width modulation voltage source inverter fed", independence, 1377, 20 Isfahan University of Technology, No. 2, pp 1-20, 1377.
[12] good-natured, M.j. The use of fuzzy logic in vector control of permanent magnet synchronous machines, college Electrical and Computer Engineering, Isfahan University of Technology, Science Report, 1378
[13] Mohammad Reza Zarei, M. boundaries, Seyed Morteza-E race to determine optimal parameters salient pole synchronous motor vector control algorithm using fuzzy - genetic
[14] Abbas used in the Akbar used in the Mohammad Karimi, Ali Shakeri, University of Shiraz, improve the performance of direct torque control of permanent magnet synchronous motors by Fuzzy Logic
[15] K. Minoru, “Application of permanent magnet synchronous motor to driving railway vehicles”, Railway Technology Avalanche, vol.1, no.1, pp. 6, 2003.
[16] S. Özçıra, “Control methods and industrial applications of permanent magnet synchronous motors”, M.S. Thesis, Advisor. Bekiroglu, N. Asst.Prof, Yildiz, Technical University, Istanbul, Turkey, 2007.