Efficiency optimization for sensorless induction motor controlled by MRAS based hybrid FOC-DTC strategy

The Field Oriented Control (FOC) and the Direct Torque Control (DTC) are the well-known control strategies in the modern AC systems nowadays. However, both of them have a number of limits, such as the dependence on machine parameters of the vector control and the high ripples of DTC. This work presents a hybrid control strategy for induction motor (IM) based on the combining of the two techniques in order to benefit from their advantages and achieve high performance control. Besides, a Model Reference Adaptive System (MRAS) observer will be used for speed estimation to improve the reliability and decrease the cost of the control system. Furthermore, the IM energy optimization will be treated as the second objective of this paper. A proposed model based strategy will be used for loss minimization. This strategy bases on online adjusting of the rotor flux magnitude reference and choosing an optimal value for each applied load torque. The proposed algorithm will be investigated by simulation and experimental implementation by using Matlab/Simulink with real time interface (RTI) based on dSpace 1104 board.

[1]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[2]  C. Schauder,et al.  Adaptive speed identification for vector control of induction motors without rotational transducers , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.

[3]  Said Drid,et al.  Implementation of a New MRAS Speed Sensorless Vector Control of Induction Machine , 2015, IEEE Transactions on Energy Conversion.

[4]  Mehdi Farasat,et al.  Efficiency improved sensorless control scheme for electric vehicle induction motors , 2014 .

[5]  Ralph Kennel,et al.  Loss Minimization of Induction Machines in Dynamic Operation , 2013, IEEE Transactions on Energy Conversion.

[6]  A. Tani,et al.  FOC and DTC: two viable schemes for induction motors torque control , 2002 .

[7]  M.N. Uddin,et al.  New Online Loss-Minimization-Based Control of an Induction Motor Drive , 2008, IEEE Transactions on Power Electronics.

[8]  Abdelkarim Ammar,et al.  Modified load angle Direct Torque Control for sensorless induction motor using sliding mode flux observer , 2015, 2015 4th International Conference on Electrical Engineering (ICEE).

[9]  Frede Blaabjerg,et al.  On the energy optimized control of standard and high-efficiency induction motors in CT and HVAC applications , 1997 .

[10]  Hossein Karimi,et al.  Combined Vector and Direct Thrust Control of Linear Induction Motors With End Effect Compensation , 2016, IEEE Transactions on Energy Conversion.

[11]  Djamila Rekioua,et al.  Direct torque control implementation with losses minimization of induction motor for electric vehicle applications with high operating life of the battery , 2015 .

[12]  Longya Xu,et al.  Alternative Energy Vehicles Drive System: Control, Flux and Torque Estimation, and Efficiency Optimization , 2011, IEEE Transactions on Vehicular Technology.

[13]  Nik Rumzi Nik Idris,et al.  Simple Flux Regulation for Improving State Estimation at Very Low and Zero Speed of a Speed Sensorless Direct Torque Control of an Induction Motor , 2016, IEEE Transactions on Power Electronics.

[14]  Sadegh Vaez-Zadeh,et al.  Combined vector control and direct torque control method for high performance induction motor drives , 2007 .

[15]  Shady M. Gadoue,et al.  Improved Rotor Flux Estimation at Low Speeds for Torque MRAS-Based Sensorless Induction Motor Drives , 2016, IEEE Transactions on Energy Conversion.

[16]  Damian Giaouris,et al.  MRAS Sensorless Vector Control of an Induction Motor Using New Sliding-Mode and Fuzzy-Logic Adaptation Mechanisms , 2010, IEEE Transactions on Energy Conversion.