Journal of Electrical Engineering and Technology

  • 제8권1호
  • /
  • Pages.110-117
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  • 2013
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Study on an Adaptive Maximum Torque Per Amp Control Strategy for Induction Motor Drives

  • Kwon, Chun-Ki (Dept. of Medical Information Technology Engineering, Soonchunhyang University)
  • 투고 : 2012.01.28
  • 심사 : 2012.07.03
  • 발행 : 2013.01.02
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초록

Maximum Torque Per Amp (MTPA) control for induction motor drives seeks to achieve a desired torque with the minimum possible stator current. This is favorable in terms of inverter operation and nearly optimal in terms of motor efficiency. However, rotor resistance variation can cause significant performance degradation. This work demonstrates that existing MTPA controls perform sub-optimally as temperature varies. An adaptive MTPA control strategy is proposed that always achieves optimal performance without exhibiting hunting phenomenon regardless of rotor temperature. The proposed control is experimentally shown to accurately achieve the desired torque.

키워드

참고문헌

  1. P. C. Krause, O. Wasynczuk, S. D. Sudhoff, Analysis of Electric Machinery and Drive Systems, IEEE Press, 2002.
  2. C. Kwon, S. D. Sudhoff, "An Improved Maximum Torque Per Amp Control for Induction Machine Drives," in 20th annual IEEE Applied Power Electronics Conference and Exposition,, March, 2005, pp. 740-745.
  3. S. D. Sudhoff, D. C. Aliprantis, B. T. Kuhn, and P. L. Chapman, "An Induction Machine Model for Predicting Inverter - Machine Interaction," IEEE Transactions on Energy Conversion, Vol. 17, June 2002, pp. 203-210. https://doi.org/10.1109/TEC.2002.1009469
  4. O. Wasynczuk, S.D. Sudhoff, K.A. Corzine, J.L. Tichenor, P.C. Krause, I.G. Hansen, and L.M. Taylor, "A Maximum Torque Per Ampere Control Strategy for Induction Motor Drives," IEEE Transactions on Energy Conversion, Vol. 13, No. 2, June 1998, pp. 163-169. https://doi.org/10.1109/60.678980
  5. T. A. Najafabadi, F. R. Salmasi, P. Jabehdar-Maralani, "Detection and Isolation of Speed-, DC-Link Voltage-, and Current-Sensor Faults Based on an Adaptive Observer in Induction-Motor," IEEE Transaction on industrial electronics, Vol. 58, No. 5, 2011, pp. 1662- 1672. https://doi.org/10.1109/TIE.2010.2055775
  6. T. Orlowska-Kowalska, M. Dybkowski, "Stator- Current-Based MRAS Estimator for a Wide Range Speed-Sensorless Induction-Motor," IEEE Transaction on industrial electronics, Vol. 57, No. 4, 2010, pp. 1296-1308. https://doi.org/10.1109/TIE.2009.2031134
  7. K. Lee and F. Blaabjerg, "Sensorless DTC-SVM for induction motor driven by a Matrix Converter using a parameter estimation strategy," IEEE Transaction on Industrial Electronics, Vol. 55, Feb 2008, pp. 512- 521. https://doi.org/10.1109/TIE.2007.911940
  8. M. O. Sonnaillon, G. Bisheimer, C. De Angelo, G. O. Garcia, "Online Sensorless Induction Motor Temperature," IEEE transactions on Energy Conversion, Vol. 25, No. 2, 2010, pp. 273-280. https://doi.org/10.1109/TEC.2010.2042220
  9. A. B. Proca and A. Keyhani, "Sliding-Mode Flux Observer With Online Rotor Parameter Estimation for Induction Motors," IEEE transactions on Industrial Electronics, Vol. 54, No. 2, April 2007, pp. 716-723. https://doi.org/10.1109/TIE.2007.891786
  10. M. N. Uddin, Sang Woo Nam, "New Online Loss- Minimization-Based Control of an Induction Motor Drive," IEEE transactions on Power Electronics, Vol. 23, March 2008, pp. 926-933. https://doi.org/10.1109/TPEL.2007.915029
  11. C. Kwon, S. D. Sudhoff, "An On-line Rotor Resistance Estimator for Induction Machine Drives," the 2005 International Electric Machines and Drives Conference, May 2005, pp. 391-397.
  12. P. Famouri and J.J. Cathey, "Loss Minimization Control of an Induction Motor Drive," IEEE Transactions on Industry Applications, Vol. 27, No. 1, January/February 1991, pp. 32-37. https://doi.org/10.1109/28.67529
  13. S. D. Sudhoff, P.L. Chapman, D. C. Aliprantis, and B. T. Kuhn, "Experimental Characterization Procedure for Use with of an Advanced Induction Machine Model," IEEE Transactions on Energy Conversion, Vol. 18, Mar 2003, pp. 48-56. https://doi.org/10.1109/TEC.2002.808333
  14. C. Kwon, S. D. Sudhoff, "A Genetic Algorithm Based Induction Machine Characterization Procedure," the 2005 International Electric Machines and Drives Conference, May 2005, pp. 1358-1364.
  15. B. Mirafzal, G. L. Skibinski, R.M. Tallam, "Cascade neural-Network-Based Fault Classifier for Three- Phase Induction Motor," IEEE transactions on Industrial Electronics, Vol. 58, No. 5, 2011, pp.1555- 1563. https://doi.org/10.1109/TIE.2010.2053337
  16. A. Boglietti, A. Cavagnino, M., "Computational Algorithms for Induction Motor Equivalent Circuit Parameter Determination-Part II:Skin Effect and Magnetizing," IEEE transactions on Industrial Electronics, Vol. 58, No. 9, September 2011, pp. 3734-3740. https://doi.org/10.1109/TIE.2010.2084975
  17. "Energy Systems Analysis Consortium (ESAC) Genetic Optimization System Engineering Tool (GOSET) Ver 1.02," School of Electrical and Computer Engr., Purdue Univ., West Lafayette, IN, 47907, 2003.
  18. J. Kim, J. Choi, and S. Sul, "Novel Rotor Flux Observer Using Observer Characteristic Function in Complex Vector Space for Field Oriented Induction Motor Drives," IEEE transactions on Industry Applications, Vol. 38, September/October 2002, pp. 1334-1443. https://doi.org/10.1109/TIA.2002.802994
  19. P. L. Jansen and R. D. Lorenz, "A Physically Insightful Approach to the Design and Accuracy Assessment of Flux Observer for Field Oriented Induction Machine Drives," IEEE Transactions on Industry Applications, Vol. 30, No. 1, January/February 1994, pp. 101-110. https://doi.org/10.1109/28.273627

피인용 문헌

  1. Study on Optimal Condition of Adaptive Maximum Torque Per Amp Controlled Induction Motor Drives vol.9, pp.1, 2014, https://doi.org/10.5370/JEET.2014.9.1.231