Computational and Experimental Analysis of Bridge Current Behavior in Induction Machines with Bridge-Structured Windings
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Abstract
Induction machines with bridge-structured windings present complex electromagnetic behaviors that significantly influence current distribution, torque production, efficiency, and thermal performance. This study provides a comprehensive computational and experimental analysis of bridge current behavior in such machines, integrating finite element modeling (FEM) and laboratory experimentation to address critical gaps in existing research. The computational framework models the bridge windings as coupled electrical circuits within the FEM environment, capturing localized current peaks, flux distortions, and mutual inductive interactions that are often overlooked in traditional analytical models. Multislice 2D modeling techniques are employed to resolve fine-grained variations in bridge currents under both steady-state and transient operating conditions, accounting for realistic material properties of copper conductors and non-oriented electrical steel laminations. Experimental validation is conducted on a laboratory-scale induction machine prototype equipped with bridge-configured windings, using high-precision current and torque sensors to quantify RMS deviations, flux ripple, and localized heating effects. The results demonstrate that bridge currents generate significant non-uniformity, particularly at junction points, which correlates with minor torque ripple and localized thermal hotspots. Comparative analysis between computational predictions and experimental observations confirms the accuracy of the FEM model, with deviations within 8% RMS across all measured parameters. The study further examines the implications of bridge current behavior for industrial automation applications, highlighting trade-offs between mechanical stability, electrical efficiency, and manufacturability. The findings also provide a foundation for predictive maintenance strategies and design optimization of non-standard winding configurations. Overall, this research advances the understanding of bridge current dynamics, offering an integrated methodology for both theoretical analysis and practical implementation, while providing actionable insights for engineers and researchers seeking to enhance the performance and reliability of induction machines in high-precision industrial systems (Michaelides, 2011).
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1. Laiho, K. Kalita, K. Tammi, and S. D. Garvey, “Dynamics of bridge configured built-in force actuator for vibration control in four-pole cage induction machine,” 18th International Congress on Sound and Vibration, ICSV18, pp. 1–8, 2011.
2. Riley, A. Michaelides, K. Hoffer, D. Griffiths, and J. Sykulski, “Automation of finite element aided design of induction motors using multislice 2d model,” The International Journal for Computation and Mathematics in Electrical and Electronics Engineering, Vol. 25, No. 2, pp. 309–319, 2009.
3. Daut, N. Gomesh, Y. Yanawati, M. Irwanto, S. N. Shafiqin, and Y. Irwan, “Modeling and simulation of 0.5 hp rotating machine for the investigation of losses by using copper as rotor bar material,” Australian Journal of Basic and Applied Sciences, Vol. 5, No. 12, pp. 170–188, 2011.
4. J. Kappatou, K. Gyftakis, and A. Safacas, “Fem study of the rotor slot design influences on the induction machine characteristics,” Advanced Computer Techniques in Applied Electromagnetics, IOS Press, Vol. 30, pp. 247–252, 2008.
5. K. Komeza, M. Dems, and P. Jastrzabek, “The 3d-analysis of the field distribution of fractional power induction motor,” 11th International Symposiyum on Electromagnetic Fields in Electrical Engineering,ISEF11, pp. 137–142, 2008.
6. K. Komeza, M. Dems, and P. Jastrzabeki, “Experimental verification of field-circiut finite elements models of induction motors feed from inverter,” Recent Developments of Electrical Drives, Springer, pp. 275–289, 2009.
7. R. S. Konwar, K. Kalita, A. Banerjee, and W. K. S. Khoo, “Electromagnetic analysis of a bridge configured winding cage induction machine using finite element method,” Progress in Electromagnetics Research B, Vol. 48, No. 4, pp. 347–373, 2013.
8. S. Natesan, G. Kumar, K. Kalita, and M. Rahman, “Unbalance detection in flexible rotor using bridge configured winding based induction motor,” Proceedings of the 1st International and 16th National Conference on Machines and Mechanisms (iNaCoMM2013), pp. 312–317, 2013.
9. W. K. Khoo, “Bridge configured winding for poly-phase self bearing machines,” IEEE Transactions on Magnetics, Vol. 41, No. 4, pp. 1289–1295, 2005.
10. W. K. S. Khoo, “Ac self-bearing motors with bridge configured winding,” Ph.D. dissertation, School of Electrical Engineering, University of Aston, Birmingham, West Midlands, 2002.
11. Y. Yanawati, I. Daut, S. N. Shafiqin, I. Pungut, M. N. Syatirah, N. Gomesh, A. R. S. Rafidah, and N. Haidar, “Efficiency increment on 0.35 mm and 0.50 mm thichness of non-oriented steel sheets for 0.5 hp induction motor,” International Journal of Materials Engineering, Vol. 2, No. 2, pp. 1–5, 2012.
12. M. N. Syatirah, N. H. Halim, I. Daut, Y. Yanawati, N. Shafiqin, N. Gomesh, and M. Asri, “Design and mideling of 1-phase induction motor using opera 2d software based on copper material,” PEOCO2011, pp. 193–196, 2011.
13. A M. Michaelides, C. P. Riley, and S. Taylor, “Dynamic analysis of linear and rotary electrical machines,” IEEE Transaction, 2011.