References
[1]. Abdel-Khalik, A. S., & Gadoue, S. M. (2011). Improved flux pattern by third harmonic injection for multiphase induction machines using neural network. Alexandria Engineering Journal, 50(2), 163-169.
[2]. Achour, T., Debbou, M., & Pietrzak-David, M. (2015). Control strategy of a dual induction motor: Anti-slip control application. Control Engineering Practice, 36, 58- 71.
[3]. Ali, J. A., Hannan, M. A., Mohamed, A., & Abdolrasol, M. G. (2016). Fuzzy logic speed controller optimization approach for induction motor drive using backtracking search algorithm. Measurement, 78, 49-62.
[4]. Alsofyani, I. M., & Idris, N. R. N. (2013). A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors. Renewable and Sustainable Energy Reviews, 24, 111- 121.
[5]. Amezquita-Brooks, L., Liceaga-Castro, E., & Liceaga- Castro, J. (2014). Novel design model for the stator currents subsystem of induction motors. Applied Mathematical Modelling, 38(23), 5623-5634.
[6]. Bensiali, N., Etien, E., & Benalia, N. (2015). Convergence analysis of back-EMF MRAS observers used in sensorless control of induction motor drives. Mathematics and Computers in Simulation, 115, 12-23.
[7]. Cao, M., & Yin, P. (2014). Modeling and simulation of vector slip frequency control system of induction motor. In Advanced Materials Research (Vol. 951, pp. 76-79). Trans Tech Publications.
[8]. Cavallo, A., De Maria, G., Natale, C., & Pirozzi, S. (2014). Slipping detection and avoidance based on Kalman filter. Mechatronics, 24(5), 489-499.
[9]. Jiangming, D., Tefang, C., Jianxiang, T., & Chunyang, C. (2015). Variable slip-frequency strategy for reducing non-equal deviations output by paralleled single-sided linear induction motors. IET Science, Measurement & Technology, 9(6), 734-743.
[10]. Kobayashi, N., Wijaya, F. P., Kondo, K., & Yamazaki, O. (2016). Induction motor speed-sensorless vector control using mechanical simulator and disturbance torque compensation. IEEE Transactions on Industry Applications, 52(3), 2323-2331.
[11]. Kumar, N., Chelliah, T. R., & Srivastava, S. P. (2015). Adaptive control schemes for improving dynamic performance of efficiency-optimized induction motor drives. ISA Transactions, 57, 301-310.
[12]. Kumar, T. V., & Rao, S. S. (2010, December). Direct torque control method for induction motor drives based on modified amplitude and angle decoupled control of stator flux. In Power Electronics, Drives and Energy Systems (PEDES) & 2010 Power India, 2010 Joint International Conference on (pp. 1-6). IEEE.
[13]. Lamim Filho, P. C. M., Pederiva, R., & Brito, J. N. (2014). Detection of stator winding faults in induction machines using flux and vibration analysis. Mechanical Systems and Signal Processing, 42(1-2), 377-387.
[14]. Lascu, C., Jafarzadeh, S., Fadali, M. S., & Blaabjerg, F. (2017). Direct torque control with feedback linearization for induction motor drives. IEEE Transactions on Power Electronics, 32(3), 2072-2080.
[15]. Lima, F., Kaiser, W., da Silva, I. N., & de Oliveira Jr, A. A. (2014). Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives. Applied Soft Computing, 21, 469-480.
[16]. Lopez, V. G., Alanis, A. Y., Sanchez, E. N., & Rivera, J. (2015). Real-time implementation of neural optimal control and state estimation for a linear induction motor. Neurocomputing, 152, 403-412.
[17]. Marcetic, D. P., Krcmar, I. R., Gecic, M. A., & Matic, P. R. (2014). Discrete rotor flux and speed estimators for highspeed shaft-sensorless IM drives. IEEE Transactions on Industrial Electronics, 61(6), 3099-3108.
[18]. Mengoni, M., Zarri, L., Tani, A., Parsa, L., Serra, G., &Casadei, D. (2015). High-torque-density control of multiphase induction motor drives operating over a wide speed range. IEEE Transactions on Industrial Electronics, 62(2), 814-825. .
[19]. Mishra, R. N., & Mohanty, K. B. (2016). Real time implementation of an ANFIS-based induction motor drive v i a f e e d b a c k l i n e a r i z a t i o n f o r p e r f o r m a n c e enhancement. Engineering Science and Technology, an International Journal, 19(4), 1714-1730
[20]. Sarhan, H., Issa, R., Alia, M., & Assbeihat, J. M. (2011). Slip compensation in efficiency-optimized threephase induction motor drive systems. Intelligent Control and Automation, 2(2), 95-99.
[21]. Sun, W., Liu, X., Gao, J., Yu, Y., Wang, G., & Xu, D. (2016). Zero stator current frequency operation of speedsensorless induction motor drives using stator input voltage error for speed estimation. IEEE Transactions on Industrial Electronics, 63(3), 1490-1498.
[22]. Sutikno, T., Idris, N. R. N., & Jidin, A. (2014). A review of direct torque control of induction motors for sustainable reliability and energy efficient drives. Renewable and Sustainable Energy Reviews, 32, 548-558.
[23]. Talhaoui, H., Menacer, A., Kessal, A., & Kechida, R. (2014). Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis. ISA Transactions, 53(5), 1639- 1649.
[24]. Tir, Z., Malik, O. P., & Eltamaly, A. M. (2016). Fuzzy logic based speed control of indirect field oriented controlled Double Star Induction Motors connected in parallel to a single six-phase inverter supply. Electric Power Systems Research, 134, 126-133.
[25]. Traoré, D., De Leon, J., & Glumineau, A. (2010). Sensorless induction motor adaptive obser verbackstepping controller: Experimental robustness tests on low frequencies benchmark. IET Control Theory & Applications, 4(10), 1989-2002.
[26]. Verma, A., Sarangi, S., & Kolekar, M. H. (2014). Stator winding fault prediction of induction motors using multiscale entropy and grey fuzzy optimization methods. Computers & Electrical Engineering, 40(7), 2246-2258.
[27]. Yan, J., Wang, X., Deng, Z., & Qixing, L. (2014, August). Slip frequency correction based on torque observer for induction machine indirect vector control system. In Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo (pp. 1-4). IEEE.
[28]. Yang, X. S., Hosseini, S. S. S., & Gandomi, A. H. (2012). Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect. Applied Soft Computing, 12(3), 1180-1186.
[29]. Yu, J., Chen, B., & Yu, H. (2010). Position tracking control of induction motors via adaptive fuzzy backstepping. Energy Conversion and Management, 51(11), 2345-2352.
[30]. Zaafouri, A., Regaya, C. B., Azza, H. B., & Châari, A. (2016). DSP-based adaptive backstepping using the tracking errors for high-performance sensorless speed control of induction motor drive. ISA Transactions, 60, 333- 347.
[31]. Zorgani, Y. A., Koubaa, Y., & Boussak, M. (2016). MRAS state estimator for speed sensorless ISFOC induction motor drives with Luenberger load torque estimation. ISA Transactions, 61, 308-317.