International Journal of Information Technology and Computer Science(IJITCS)
ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)
Published By: MECS Press
IJITCS Vol.3, No.1, Feb. 2011
A new Measuring Method of Flux Linkage of SRM
Full Text (PDF, 274KB), PP.47-53
This paper presents a indirect method of measuring flux characteristics based on DSP. By measuring current and voltage on a phase winding circuit and transfer them to PC by communication program, combined with the Simpson’s rule, the magnetization characteristics are obtained. The experimental instruments needed in this method are common, and the test platform is easy to be built, thus the expense is lowered in measurement of flux. The test indicates the measuring process is simple to implement, and the experimental results are accurate.
Cite This Paper
Chuntang Zhang, hui kong, "A new Measuring Method of Flux Linkage of SRM", International Journal of Information Technology and Computer Science(IJITCS), vol.3, no.1, pp.47-53, 2011. DOI: 10.5815/ijitcs.2011.01.07
Honghua Wang, “Technology of drive control for Switched Reluctance Motors”[M]. Beijing; Pass of Mechanical industry, 1995. (in Chinese)
Rakesh Saxena, Bhim Singh and Yogesh Pahariya. “Measurement of Flux Linkage and Inductance Profile of SRM” [J]. International Journal of Computer and Electrical Engineering, Vol. 2, No. 2, April, 2010. pp. 389-393
Tian Hua and Ching Gua Chen, “Implementation of a Sensorless Switched Reluctance Drive with Self Inductance Estimating Technique” IEEE Industrial Electronics Conference, pp. 508-513, 2002. (in Chinese)
RayW F, Erfan F,” A New Method of Flux or Inductance Measurement for Switched Reluctance Motors”, Proceedings of the 5th International Conferenceon Power Electronics and Variable -Speed Drives[C]. Oct, 1994, London, UK . pp. 137-140.
Alessadro Ferero, Angelo Racit. “A Digital Method for the Determination of the Magnetic Characteristic of Variable Reluctance Motors” [J]. IEEE Transactions on Instrumentation and Measurement, Vol. 23, No. 5, April, 1990. pp. 604-608.
Ferrero A, Raciti A, “A Digital Method For Determination Of Magnetic Characteristic Of Variable Reluctance Motor”. IEEE Transactions On Instrumentation & Measurement[J]. Vol.39. No.4, August 1990. pp. 604-608.
Joon H L, Young H L, Dong H K, et al . “Dynamic vibration analysis of switched reluctance motor using magnetic charge force density and mechanical analysis”. IEEE Transactions on Applied Superconductivity. pp. 1511-1514, 2002
Nakamura K, Fujio S, Ichinokura O. “A method for calculating iron loss of an SR motor based on reluctance network analysis and comparison of symmetric and asymmetric excitation.” IEEE Transactions on Magnetics, pp. 3440-3442, 2006
Zhu X M, Panda S K, Dash P K, et al . “Experimental investigation of variable structural PID control for switched reluctance motor drives.” International Conference on Power Electronics and Drive Systems 1997. Hong Kong, pp. 205-210, 1997
R. Krishnan, “Switched Reluctance Motor Drives: Modeling, Simulation, Analysis, Design and Applications” CRC Press.
Chris S. Edrington, Babak Fahimi, and Mahesh Krishnamurthy “A Autocalibrating Inductance Model for Switched Reluctance Motor Drives” IEEE Transactions on Industrial Electronics, Vol. 54, No. 4, pp. 2165-2172, August 2007
Yogesh Pahariya, Rakesh Saxena and Bhim Singh.”Switched Reluctance Motor Drive”, A New Concept in Variable Speed Drive. IEEMA Journal, Volume XXV, no.10, pp. 72 -76, October 2005.
H.-P. Chi, R.-L. Lin and J.-F. Chen. “Simplified flux-linkage model for switched-reluctance motors. IEE Proc.-Electr. Power Appl., Vol. 152, No. 3, pp 577-583, May 2005.
Silverio Bolognani , Giuseppe S. Buja and Maria I. valla. “Switched Reluctance Motor Performance analysis Based On an Improved Modeling Of Its Magnetic characteristics.”Electric Machines And Power Systems, pp. 425-428. 1991.
Sheth N K, Rajagopal K R . “Calculation of the flux-linkage characteristics of a switched reluctance motor by flux tube method.” IEEE Transactions on Magnetics, pp. 4069-4071, 2005.
Ramanarayanan V, Venkatesha L, Panda D. “Flux-linkage characteristics of switched reluctance motor.” Proceedings of the 1996 International Conference on. Power Electronics, Drives and Energy Systems for Industrial Growth, New Delhi, India, pp.281-285, 1996
Lachman T, Mohamad T R, and Fong C H, Nonlinear Modelling of Switched Reluctance Motors Using Artificial Intelligence Techniques, IEE Proc.-Electr. Power Appl., pp.53-60,2004.
Ray W F，Erfan F, “A new method of flux or inductance measurement switched reluctance motors.” IEE Proceedings of Power Electronics Variable-Speed Drives. pp. 137-140, 1994
Elmas C, et al, “Application of a full-order extender Luenberger observer for a position sensorless operations of a switched reluctance motor drive.” IEE-Proceeding on control theory and applications. pp. 401-408, October 1996
Reay D, Williams B W, “Sensorless position detection using neural networks for the control of switched reluctance motors.” Proceeding of the 1999 IEEE International conference on control applications, pp. 1073-1077, 1999
Elmas C, Sagiroglu S, Colak I, et al . “Nonlinear modeling of a switched reluctance drive based on neural networks.” Proceedings of Fifth International Conference on Power Electronics and Variable-Speed Drives. London LTK. pp. 7-12, October, 1994.
Amor L B, Dessaint L A, Akhrif O, et al. “Adaptive feedback linearization for position control of a switched reluctance motor: analysis and simulation”. Proceedings of the 1992 International Conference on Power Electronics and Motion Control, CA USA. pp. 150-159, 1992
Radun A. “Analytically computing the flux linked by a switched reluctance motor phase when the stator and rotor poles overlap[J].”IEEE Transactions on Magnetics, pp. 1996-2003, 2000
Joines J A, Houck C R. “On the Use of Non-stationary Penalty Functions to Solve Nonlinear Constrained Optimization Problems with GA’s.” Proceedings of the First IEEE Conference on Evolutionary Computation. Orlando US. pp.579-594, 1994
Xia C L, Xue M, Chen W and Xie X M. “Flux Linkage Characteristic Measurement and Parameter Identification Based on Hybrid Genetic Algorithm for Switched Reluctance Motors.” IEEE Conference on Industrial Electronics and applications (ICIEA), Singapore. pp. 1619-1623, 2008