Rotor and Statorr Resistance Estimation Based on Artificial Neural Network Applied in Induction Motor Control
Main Article Content
Abstract
This paper presents a modified method for rotor and stator resistance estimation using artificial neural network for sensorless induction motor drive. Speed of the induction motor also is estimated using the artificial neural network. Therefore, the accurate estimation of the speed of induction motor, the rotor and stator resistance improved the quality of the sensorless induction motor drive. The results of simulation and experiment show that the estimated speed tracks the real speed of induction motor, simultaneously the error between the estimated rotor and stator resistance using neural network and the normal rotor and stator resistance is extremely small.
Keywords
Artificial neural network (ANN), Sensorless control, Rotor resistance estimation, Stator resistance estimation
Article Details
References
[1] Baburaj Karanayil, Parameter Identification for Vector Controlled Induction Motor Drives Using Artificial Neural Networks and Fuzzy Principles. Theris Submitted to The University of New South Wales for degree of Doctor of Philosophy, School of Electrical Engineering and Telecommunications, 2005.
[2] R. Krishnan and F. C. Doran, Study of parameter sensitivity in high-performance inverter-fed induction motor drive systems, IEEE Trans. Ind. Appl., vol. IA-23, no. 4, pp. 623–635, 1987.
[3] B. Karanayil, M. F. Rahman, and C. Grantham, Online stator and rotor resistance estimation scheme using artificial neural networks for vector controlled speed sensorless induction motor drive, IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 167–176, 2007.
[4] A. Chitra and S. Himavathi, A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction motor drives, Front. Energy, vol. 9, no. 1, pp. 22–30, 2015.
[5] Y. Bensalem, A Sensorless Neural Model Reference Adaptive Control for Induction Motor Drives, 2009, Int. Conf. Signals, Circuits Syst. Ap, pp. 1–6, 2009.
[6] F. L. Mapelli, A. Bezzolato, and D. Tarsitano, A rotor resistance MRAS estimator for induction motor traction drive for electrical vehicles, Proc. - 2012 20th Int. Conf. Electr. Mach. ICEM 2012, pp. 823–829, 2012.
[7] G. Lin and Q. Wan, Estimation of Rotor Resistance of Induction Motor Based on Extended Kalman Filter, Adv. CSIE, vol. 2, pp. 193–198, 2012.
[8] M. Ouhrouche, Estimation of speed, rotor flux, and rotor resistance in cage induction motor using the EKF algorithm, Int. J. power energy Syst., pp. 1–20, 2002.
[9] S. Yang, R. Sun, P. Cao, Z. Xie, and X. Zhang, Sliding-mode observer based rotor resistance updating method for indirect vector controlled induction motor, IEEE Trans. Electr. Confl. Expo, Asia-Pacific, ITEC Asia-Pacific, 2017.
[10] T. Ritu, K. Sudhir Y, and R. Bharat Singh, Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller, J. Eng. Sci. Technol. Rev., no. 10 (6) (2017) 9–15.
[11] E. Alradadi, A Simple and Efficient Method for a Based Fuzzy Logic Speed Controller and Rotor Resistance Estimation of an Indirect Vector Controlled Induction Motor Drive, pp. 1–10.
[12] E. Elradadi, An Efficient Method for a Based Fuzzy Logic Speed Controller and Rotor Resistance Estimation of an Indirect Vector Controlled Induction Motor Drive, pp. 1–8.
[13] C. Djamila, M. Yahia, and T. Ali, Simultaneous Estimation of Rotor Speed and Stator Resistance in Sensorless Indirect Vector Control of Induction Motor Drives Using a Luenberger Observer, Int. J. Comput. Sci. Issues, vol. 9, no. 3, No 2, pp. 325–335, 2012.
[14] M. Jouili, Y. Agrebi, Y. Koubaa, and M. Boussak, A Luenberger state observer for simultaneous estimation of speed and stator resistance in sensorless IRFOC induction motor drives, 16th Int. Conf. Sci. Tech. Autom. Control Comput. Eng. STA 2015, pp. 898–904, 2015.
[15] C. M. F. S. Reza, D. Islam, and S. Mekhilef, Stator resistance estimation scheme using fuzzy logic system for direct torque controlled induction motor drive, J. Intell. Fuzzy Syst., vol. 27, no. 4, pp. 1631–1638, 2014.
[16] B. K. Bose and N. R. Patel, Quasi-fuzzy estimation of stator resistance of induction motor, IEEE Trans. Power Electron., vol. 13, no. 3, pp. 401–409, 1998.
[17] V. Vasic, S. N. Vukosavljevic, and E. Levi, A Stator Resistance Estimation Scheme for Speed Sensorless Rotor Flux Oriented Induction Motor Drives, IEEE Trans. Energy Convers., vol. 18, no. 4, pp. 476–483, 2003.
[18] M. Rashed, F. Stronach, and P. Vas, A New Stable MRAS-Based Speed and Stator Resistance Estimators for Sensorless Vector Control Induction Motor Drives at Low Speeds, Ind. Appl. Conf. 2003. 38th IAS Ann. Meet. Conf. Rec., vol. 2, pp. 1181–1188, 2003.
[19] M. Koteich, Flux estimation algorithms for electric drives: a comparative study, 2016 3rd Int. Conf. Renew. Energies Dev. Cetries, 2016.
[20] H. H. Vo, P. Brandstetter, C. S. T. Dong, and T. C. Tran, Speed estimators using stator resistance adaption for sensorless induction motor drive, Adv. Electr. Electron. Eng., vol. 14, no. 3, pp. 267–273, 2016.
[21] P. Văn Tuấn, P. Hùng Phi, N. Thanh Sơn, and N. T. Cộng, Ước lượng tốc độ động cơ không đồng bộ ba pha sử dụng mạng nơ ron nhân tạo, Chuyên san Tự động hóa ngày nay 4-2014, pp. 62–66, 2014.
[2] R. Krishnan and F. C. Doran, Study of parameter sensitivity in high-performance inverter-fed induction motor drive systems, IEEE Trans. Ind. Appl., vol. IA-23, no. 4, pp. 623–635, 1987.
[3] B. Karanayil, M. F. Rahman, and C. Grantham, Online stator and rotor resistance estimation scheme using artificial neural networks for vector controlled speed sensorless induction motor drive, IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 167–176, 2007.
[4] A. Chitra and S. Himavathi, A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction motor drives, Front. Energy, vol. 9, no. 1, pp. 22–30, 2015.
[5] Y. Bensalem, A Sensorless Neural Model Reference Adaptive Control for Induction Motor Drives, 2009, Int. Conf. Signals, Circuits Syst. Ap, pp. 1–6, 2009.
[6] F. L. Mapelli, A. Bezzolato, and D. Tarsitano, A rotor resistance MRAS estimator for induction motor traction drive for electrical vehicles, Proc. - 2012 20th Int. Conf. Electr. Mach. ICEM 2012, pp. 823–829, 2012.
[7] G. Lin and Q. Wan, Estimation of Rotor Resistance of Induction Motor Based on Extended Kalman Filter, Adv. CSIE, vol. 2, pp. 193–198, 2012.
[8] M. Ouhrouche, Estimation of speed, rotor flux, and rotor resistance in cage induction motor using the EKF algorithm, Int. J. power energy Syst., pp. 1–20, 2002.
[9] S. Yang, R. Sun, P. Cao, Z. Xie, and X. Zhang, Sliding-mode observer based rotor resistance updating method for indirect vector controlled induction motor, IEEE Trans. Electr. Confl. Expo, Asia-Pacific, ITEC Asia-Pacific, 2017.
[10] T. Ritu, K. Sudhir Y, and R. Bharat Singh, Estimation of Rotor and Stator Resistance for Induction Motor Drives using Second order of Sliding Mode Controller, J. Eng. Sci. Technol. Rev., no. 10 (6) (2017) 9–15.
[11] E. Alradadi, A Simple and Efficient Method for a Based Fuzzy Logic Speed Controller and Rotor Resistance Estimation of an Indirect Vector Controlled Induction Motor Drive, pp. 1–10.
[12] E. Elradadi, An Efficient Method for a Based Fuzzy Logic Speed Controller and Rotor Resistance Estimation of an Indirect Vector Controlled Induction Motor Drive, pp. 1–8.
[13] C. Djamila, M. Yahia, and T. Ali, Simultaneous Estimation of Rotor Speed and Stator Resistance in Sensorless Indirect Vector Control of Induction Motor Drives Using a Luenberger Observer, Int. J. Comput. Sci. Issues, vol. 9, no. 3, No 2, pp. 325–335, 2012.
[14] M. Jouili, Y. Agrebi, Y. Koubaa, and M. Boussak, A Luenberger state observer for simultaneous estimation of speed and stator resistance in sensorless IRFOC induction motor drives, 16th Int. Conf. Sci. Tech. Autom. Control Comput. Eng. STA 2015, pp. 898–904, 2015.
[15] C. M. F. S. Reza, D. Islam, and S. Mekhilef, Stator resistance estimation scheme using fuzzy logic system for direct torque controlled induction motor drive, J. Intell. Fuzzy Syst., vol. 27, no. 4, pp. 1631–1638, 2014.
[16] B. K. Bose and N. R. Patel, Quasi-fuzzy estimation of stator resistance of induction motor, IEEE Trans. Power Electron., vol. 13, no. 3, pp. 401–409, 1998.
[17] V. Vasic, S. N. Vukosavljevic, and E. Levi, A Stator Resistance Estimation Scheme for Speed Sensorless Rotor Flux Oriented Induction Motor Drives, IEEE Trans. Energy Convers., vol. 18, no. 4, pp. 476–483, 2003.
[18] M. Rashed, F. Stronach, and P. Vas, A New Stable MRAS-Based Speed and Stator Resistance Estimators for Sensorless Vector Control Induction Motor Drives at Low Speeds, Ind. Appl. Conf. 2003. 38th IAS Ann. Meet. Conf. Rec., vol. 2, pp. 1181–1188, 2003.
[19] M. Koteich, Flux estimation algorithms for electric drives: a comparative study, 2016 3rd Int. Conf. Renew. Energies Dev. Cetries, 2016.
[20] H. H. Vo, P. Brandstetter, C. S. T. Dong, and T. C. Tran, Speed estimators using stator resistance adaption for sensorless induction motor drive, Adv. Electr. Electron. Eng., vol. 14, no. 3, pp. 267–273, 2016.
[21] P. Văn Tuấn, P. Hùng Phi, N. Thanh Sơn, and N. T. Cộng, Ước lượng tốc độ động cơ không đồng bộ ba pha sử dụng mạng nơ ron nhân tạo, Chuyên san Tự động hóa ngày nay 4-2014, pp. 62–66, 2014.