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An improved methodology for dynamic modelling and simulation of electromechanically coupled drive systems: an experimental validation. (English) Zbl 1339.78004
Summary: The complexity of electromechanical coupling drive system (ECDS)s, specifically electrical drive systems, makes studying them in their entirety challenging since they consist of elements of diverse nature, i.e. electric, electronics and mechanics. This presents a real struggle to the engineers who want to design and implement such systems with high performance, efficiency and reliability. For this purpose, engineers need a tool capable of modelling and/or simulating components of diverse nature within the ECDS. However, a majority of the available tools are limited in their capacity to describe the characteristics of such components sufficiently. To overcome this difficulty, this paper first proposes an improved methodology of modelling and simulation for ECDS. The approach is based on using domain-based simulators individually, namely electric and mechanic part simulators and also integrating them with a co-simulation. As for the modelling of the drive machine, a finely tuned dynamic model is developed by taking the saturation effect into account. In order to validate the developed model as well as the proposed methodology, an industrial ECDS is tested experimentally. Later, both the experimental and simulation results are compared to prove the accuracy of the developed model and the relevance of the proposed methodology.
78A30 Electro- and magnetostatics
Full Text: DOI
[1] Boldea I and Nasar S A 1988 A general equivalent circuit (GEC) of electric machines including crosscoupling saturation and frequency effects. IEEE Trans. Energy Conversion 3(3): 689-695
[2] Capolino G A and Henao H 1990 Design and simulation of power electronics converters control circuits using EMTP. IEEE Workshop on Computers in Power Electronics, pp. 47-61, August 5-7
[3] Champagne R, Dessaint L A, Fortin-Blanchette H and Sybille G 2004 Analysis and validation of a real-time AC drive simulator. IEEE Trans. Power Electron 19(2): 336-345
[4] Doumbia M L 1997 An integrated solution for simulating electrical drive systems with Matlab/Simulink. IEEE International Symposium on Industrial Electronics ISIE’97, Guimaraes, pp. 952-955
[5] Faruque M O, Zhang Y and Dinavahi V 2006 Detailed modeling of CIGRÉ HVDC benchmark system using PSCAD/EMTDC and PSB/SIMULINK. IEEE Trans. Power Delivery 21(1): 378-387
[6] Fuchs E F, Poloujadoff M and Neal G W 1988 Starting performance of saturable three-phase induction motors. IEEE Trans. Energy Conversion 3(3): 624-635
[7] Gamino M, Pedraza J C, Ramos J M and Gorrostieta E 2006 Matlab-C++ interface for a flexible arm manipulator simulation using multi-language techniques. Fifth Mexican International Conference on Artificial Intelligence MICAI ’06, pp 369-378
[8] Gerbaud L, Bigeon J and Champenois G 1992 Modular approach to describe electromechanical systems-using Macsyma to generate global approach simulation software. IEEE 23rd Annual Power Electronics Specialists Conference PESC’92, Toledo, vol. 2, pp. 1189-1196
[9] Gole A M, Keri A, Nwankpa C et al 1997 Guidelines for modeling power electronics in power engineering applications. IEEE Trans. Power Delivery 12(1): 505-514
[10] Henao H, Capolino G A and Martinez-Velasco J A 1997 An approach of CAD for electrical drives using EMTP. Electromotion J. 4(3): 91-100
[11] IEEE Std. 112-1996 1996 IEEE standard test procedure for polyphase induction motors and generators. Electric Machines Committee of the IEEE Power Engineering Society, 58 pages
[12] ITI\^{®}-SIM 3 1999 The help manual of ITI\^{®}-SIM. ITI Gmbh, ITI Gesellschaft für ingenieurtechnische informationsverarbeitung mbH, Gostritzer Strasse 63, D-01217 Dresden, volume I, II et, III
[13] Johansson B, Krus P and Palmberg J -O 2000 Distributed modelling: Object oriented implementation with modelica and transmission lines. Bath Workshop on Power Transmission and Motion Control, PTMC 2000, Bath, England, 13-15 September
[14] Kern A and Hunz U 1993 A modular simulation system for power electronics and control applications. IEEE International Symposium on Industrial Electronics ISIE’93, Budapest, pp. 305-310
[15] Koo K L 2004 Modeling and cosimulation of AC generator excitation and governor systems using simulink interfaced to PSS/E. IEEE Power Systems Conference and Exposition PES’04, vol. 2, pp. 1095-1100, 10-13
[16] Larsson J, Krus P and Palmberg J -O 2001 Concepts for multi-domain modelling and simulation. The 7th Scandinavian International Conference on Fluid Power SICFP01, Linköping, Sweden, LiTH-IKP-CR0254, 30 May-1 June
[17] Larsson J, Johansson B, Krus P and Sethson M 2002 Modelith: A framework enabling tool-independent modelling and simulation. ESS2002, the 14\^{\(t\)\(h\)}European Simulation Symposium and Exhibition, Dresden, Germany, 23-26 October
[18] Lechevalier C, Gerbaud L and Bigeon J 1999 Problems in functional analysis of electric drive. International Conference on electrical Machines and Drives IEMD’99, Seattle, pp. 174-176, 9-12
[19] Levi E 1997 Impact of cross-saturation on accuracy of saturated induction machine models. IEEE Trans. Energy Conversion 12(3): 211-216
[20] Lipo T A and Consoli A 1984 Modeling and simulation of induction motors with saturable reactances. IEEE Trans. Ind. Appl. IA-20(1): 180-189
[21] Li J and Xu L 2001 Investigation of cross-saturation and deep bar effects of induction motors by augmented d-q modelling method. Conference record of the 2001 Industrial Applications Conference 36th IAS Annual Meeting, pp. 745-750
[22] Sakman L E, Guclu R and Yagiz N 2005 Fuzzy logic control of vehicle suspensions with dry friction non-linearity. Sadhana - Acad. Proc. Eng. Sci. 30(4): 649-659
[23] SIMULINK\^{®}4 2001 Dynamic system simulation for MATLAB\^{®}. Copyright The Mathworks Inc
[24] Smith A C, Healey R C and Williamson S 1996 A transient induction motor model including saturation and deep bar effect. IEEE Trans. Energy Conversion 11(1): 8-15
[25] Schoder K and Feliachi A 2004 Simulation and control of electric shipboard power systems using Modelica and Matlab/Simulink. IEEE Power Engineering Society General Meeting 6(1): 244-248
[26] Wurtz F, Bigeon J, Coulomb J L et al 1998 Methodological guidelines for the use of analytical and numerical models in a design process of an electromagnetic device. IEEE Trans. Magn. 34(4): 3411-3414
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