Abstract
In this paper a novel speed estimation scheme, combining sliding mode observer (SMO), model reference adaptive system (MRAS), and feedforward control, is proposed for indirect vector-controlled induction motors. Firstly, an intermediate current variable is defined to simplify the \(\Gamma \)-type representation of induction motor. With the definition, a SMO is designed secondly, where the unknown terms in the current equations are replaced with the sliding mode controls. In sliding mode, the dynamics about the equivalent control components are feasible to be derived by solving the sliding mode equations. Following that another set of state equations about the equivalent control components themselves are derived, aiming to form a MRAS with the rotor speed as the adapting parameter. The references of the state variables in the MRAS are provided by filtering out the high-frequency components in the sliding mode functions in the SMO. Meanwhile, a crude value of the rotor speed, calculated directly from the equivalent control components, are fed forward into the speed adaptation mechanism in the MRAS to improve the dynamic performance of the speed estimation. As shown through simulation and experiments, this proposed combined speed observation scheme exhibits better stable and dynamic performance and satisfactory parameter robustness.
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Oukaci A, Toufouti R, Dib D, Atarsia L (2017) Comparison performance between sliding mode control and nonlinear control, application to induction motor. Electr Eng 99:33–45
Sung W, Shin J, Jeong Y (2012) Energy-efficient and robust control for high-performance induction motor drive with an application in electric vehicles. IEEE Trans Veh Technol 61(8):3394–3405
Nisha GK, Lakaparampil ZV, Ushakumari S (2017) Effect of power factor on torque capability of FOC induction machine in field weakening region for propulsion systems. Electr Eng 99:1065–1072
Merabet A, Tanvir AA, Beddek K (2017) Torque and state estimation for real-time implementation of multivariable control in sensorless induction motor drives. IET Electr Power Appl 11(4):653–663
Tabbache B, Rizoug N, Benbouzid MEH, Kheloui A (2013) A control reconfiguration strategy for post-sensor FTC in induction motor-based EVs. IEEE Trans Veh Technol 62(3):965–971
Kumar R, Das S, Chattopadhyay AK (2016) Comparative assessment of two different model reference adaptive system schemes for speed-sensorless control of induction motor drives. IET Electr Power Appl 10(2):141–154
Diab AAZ (2017) Implementation of a novel full-order observer for speed sensorless vector control of induction motor drives. Electr Eng 99:907–921
Zhang X (2013) Sensorless induction motor drive using indirect vector controller and sliding-mode observer for electric vehicles. IEEE Trans Veh Technol 62(7):3010–3018
Kumar R, Das S, Syam P, Chattopadhyay AK (2015) Review on model reference adaptive system for sensorless vector control of induction motor drives. IET Electr Power Appl 9(7):496–511
Zhao L, Huang J, Chen J, Ye M (2015) A parallel speed and rotor time constant identification scheme for indirect field oriented induction motor drives. IEEE Trans Power Electron 31(9):6494–6503
Lascu C, Boldea I, Blaabjerg F (2009) A class of speed-sensorless sliding-mode observers for high-performance induction motor drives. IEEE Trans. Ind. Electron. 56(9):3394–3404
Sun W, Yu Y, Wang G, Li B, Xu D (2015) Design method of adaptive full order observer with or without estimated flux error in speed estimation algorithm. IEEE Trans Power Electron 31(3):2609–2626
Ravi Teja AV, Chakraborty C, Maiti S, Hori Y, Hori Y (2012) A new model reference adaptive controller for four quadrant vector controlled induction motor drives. IEEE Trans. Ind. Electron 59(10):3575–3767
Zhao L, Huang J, Chen J, Ye M (2016) A parallel and rotor speed time constant identification scheme for indirect field oriented induction motor drives. IEEE Trans Power Electron 31(9):6494–6503
Ide K, Ha J-I, Sawamura M (2006) A hybrid speed estimator of flux observer for induction motor drives. IEEE Trans. Ind. Electron. 53(1):130–137
Basic D, Malrait F, Rouchon P (2011) Current controller for low-frequency signal injection and rotor flux position tracking at low speeds. IEEE Trans. Ind. Electron. 58(9):4010–4022
Sun W, Gao J, Liu X, Yu Y etc (2016) Inverter nonlinear error compensation using feedback gains and self-tuning estimated current error in adaptive full-order observer. IEEE Trans. Ind. Appl. 52(1):472–482
Wang F, Zhang Z, Wang J, Rodriguez J (2017) Sensorless model-based PCC for induction machine. IET Electr Power Appl 11(5):885–892
Usta MA, Qkumus HI, Kahveci H (2017) A simplified three-level SVM-DTC induction motor drive with speed and stator resistance estimation based on extended Kalman filter. Electr Eng 99:707–720
Harnefors L, Hinkkanen M (2008) Completer stability of reduced-order and full-order observers for sensorless IM drives. IEEE Trans. Ind. Electron. 55(3):1319–1329
Smith AN, Gadoue SM, Finch JW (2016) Improved rotor flux estimation at low speeds for torque MRAS-based sensorless induction motor drives. IEEE Trans Energy Convers 31(1):270–282
Benlaloui I, Drid S, Chrifi-Alaoui L, Ouriagli M (2015) Implementation of a new MRAS speed sensorless vector control of induction machine. IEEE Trans Energy Convers 30(2):588–595
Utkin VI (1993) Sliding mode control design principles and applications to electric drives. IEEE Trans. Ind. Electron 40(1):23–36
Derdiyok A, Basci A (2016) Speed estimation of an induction machine based on designed Lyapunov candidate functions. Electr Eng 98:67–75
Vieira RP, Gastaldini CC, Azzolin RZ, Grundling HA (2014) Sensorless sliding-mode rotor speed observer of induction machines based on magnetizing current estimation. IEEE Trans. Ind. Electron. 61(9):4573–4582
Lascu C, Boldea I, Blaabjerg F (2006) Comparative study of adaptive and inherently sensorless observers for variable-speed induction-motor drives. IEEE Trans. Ind. Electron. 53(1):57–65
Yang S, Ding D, Li X, Xie Z, Zhang X, Chang L (2017) A novel online parameter estimation method for indirect field oriented induction motor drives. IEEE Trans Energy Convers 32(4):1562–1573
Fallaha CJ, Saad M, Kanaan HY, Al-Haddad K (2011) Sliding-mode robot control with exponential reaching law. IEEE Trans. Ind. Electron. 58(2):600–610
Sul SK (1989) A novel technique of rotor resistance estimation considering variation of mutual inductance. IEEE Trans Ind Appl 25(4):578–587
Zaky MS, Khater MM, Shokralla SS, Yasin HA (2009) Widespeed-range estimation with online parameter identification schemes of sensorless induction motor drives. IEEE Trans. Ind. Electron. 56(5):1699–1707
Lei W, Deng X, Hu K, Zhang X, Wang K (2010) A novel parameter identification method for induction motor. In: Proceedings of ICMTMA, Changsha, pp 265–268
Sonnaillon MO, Bisheimer G, Angelo CD, Garcia GO (2010) Online sensorless induction motor termperature monitoring. IEEE Trans Energy Convers 25(2):273–280
Dittrich A (1994) Parameter sensitivity of procedures for on-line adaptation of the rotor time constant of induction machines with field oriented control. IEE Proc. Elect. Power Appl 141(6):353–359
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Yang, S., Li, X., Xie, Z. et al. A combined speed estimation scheme for indirect vector-controlled induction motors. Electr Eng 100, 2243–2252 (2018). https://doi.org/10.1007/s00202-018-0699-3
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DOI: https://doi.org/10.1007/s00202-018-0699-3