Speed Sensorless Direct Torque Control of Doubly Fed Induction Motor Using Model Reference Adaptive System

2021 ◽  
pp. 1821-1830
Author(s):  
Mohammed El Mahfoud ◽  
Badre Bossoufi ◽  
Najib El Ouanjli ◽  
Said Mahfoud ◽  
Mourad Yessef ◽  
...  
Keyword(s):  
Induction Motor ◽  
Adaptive System ◽  
Direct Torque Control ◽  
Torque Control ◽  
Speed Sensorless ◽  
Model Reference ◽  
Model Reference Adaptive System ◽  
Doubly Fed ◽  
Model Reference Adaptive

scholarly journals Comparative Analysis of Control Methods with Model Reference Adaptive System Estimators of a Seven-Phase Induction Motor with Encoder Failure

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1147 ◽  
Author(s):  
Jacek Listwan ◽  
Krzysztof Pieńkowski
Keyword(s):  
Induction Motor ◽  
Adaptive System ◽  
Direct Torque Control ◽  
Torque Control ◽  
Space Vector Modulation ◽  
Space Vector ◽  
Model Reference ◽  
Model Reference Adaptive System ◽  
Vector Modulation ◽  
Model Reference Adaptive

This article presents a comparative analysis of the direct torque control with space vector modulation method for seven-phase squirrel-cage induction motor during the encoder failure. The direct torque control with space vector modulation method with model reference adaptive system with current model and current estimator and model reference adaptive system—flux based estimator applied in the control loop of the motor speed have been analyzed. The mathematical model of the seven-phase induction motor and model reference adaptive system-type estimators have been described. The method of space vector modulation applied to the seven-phase voltage source inverter, controlled seven-phase induction motor, has been described. The operation of direct torque control with space vector modulation has been verified via simulation tests, and the results of performed simulation studies have been analyzed and presented. The authors’ original contribution and work novelty includes comparison studies of the performance of the direct torque control method with space vector modulation of a seven-phase induction motor with two estimators: model reference adaptive system—flux based estimator and the novel model reference adaptive system with current model and current estimator.

scholarly journals Latest Advances in DTC Control of Induction Motors

2020 ◽  
Vol 8 (6S) ◽  
pp. 120-123
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Induction Motors ◽  
Adaptive System ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive

In these days, developments in the area of Induction Motor control is increasing significantly. Considerable advancements have been taken place in the area of Direct Torque Control (DTC), which is capable of providing quick dynamic response with respect to torque and flux. This paper presents a detailed survey on various latest techniques of DTC control of Induction Motor such as DTC-SVM with hysteresis band, DTCSVM with Model Predictive Control, DTC with sliding mode control, DTC with Model reference adaptive system (MRAS) et cetera. The simulation results are discussed for DTC-SVPWM topology and results obtained proves that this method has reduced torque ripple

Sensorless direct torque control based on nonlinear integral sliding mode controllers for an induction motor drive: Experimental verification

2020 ◽  
pp. 095965182093373
Author(s):  
Saber Krim ◽  
Youssef Krim ◽  
Mohamed Faouzi Mimouni
Keyword(s):  
Adaptive System ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Torque Control ◽  
Adaptation Mechanism ◽  
Model Reference ◽  
Speed Controller ◽  
Model Reference Adaptive System ◽  
Speed Estimator ◽  
Model Reference Adaptive

In this article, a novel sliding mode adaptation mechanism of a model reference adaptive system speed estimator and a modified sliding mode speed controller are proposed to replace the proportional-integral controller used in the adaptation mechanism of the model reference adaptive system and the proportional-integral speed controller, respectively. The suggested control strategy is designed by sensorless direct torque control with space vector modulation based on a sliding mode speed controller and a model reference adaptive system sliding mode speed estimator. The contribution of this work is the development of one control law based on a modified nonlinear component to overcome the first-order sliding mode control limitations, such as the chattering phenomenon. The performance of the suggested controller-based direct torque control with space vector modulation is verified by digital simulation with different operation conditions, like the abrupt variations in the load torque and the reference speed, using the MATLAB/SIMULINK environment. In fact, such simulation results are experimentally checked utilizing a dSPACE-1104.

Rotor Speed and Stator Resistance Identification of Direct Torque Control for Induction Motor Based on Mutual MRAS

2011 ◽  
Vol 383-390 ◽  
pp. 2458-2463
Author(s):  
Zhi Ting She ◽  
Jun Bo Yuan ◽  
Yong Zheng ◽  
Yong Jin Peng
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
System Stability ◽  
Rotor Speed ◽  
Speed Sensorless ◽  
Model Reference ◽  
Stator Resistance ◽  
Model Reference Adaptive ◽  
Speed Identification

Based on the dynamic mathematical model of induction motor, the mutual model reference adaptive system method (MRAS) for rotor speed identification is proposed to implement a speed sensorless direct torque control of induction motor. The model reference adaptive theory is flexibly used in the rotor speed and the stator resistance online identification. The reference model and adjustable model used in the mutual MRAS scheme are interchangeable. Therefore, The induction motor speed sensorless direct torque control system can obtain high-precision speed identification. Computer simulations and experimental results show that the method can solve the problems of speed control accuracy and system stability under the influence of motor parameter variation. The low speed performance of DTC is also improved.

Second-order sliding mode-direct torque control and load torque estimation for sensorless model reference adaptive system–based induction machine

2020 ◽  
Vol 235 (1) ◽  
pp. 15-29 ◽  
Author(s):  
Abdelkarim Ammar
Keyword(s):  
Adaptive System ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Second Order ◽  
Torque Control ◽  
Load Torque ◽  
Model Reference ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive ◽  
Second Order Sliding Mode

In this article, an improved sensorless direct flux and torque control is presented for high-performance induction motor drive. This algorithm integrates the super twisting control approach with direct torque control and model reference adaptive system. The super twisting algorithm is a second-order sliding mode approach that uses a continuous control law in order solves the problems of chattering and enhances control robustness against various uncertainties. Besides, a load torque observer design bed on super twisting–based design is presented to improve the speed regulation loop and to increase its rejection ability of load disturbances. Furthermore, the stator flux model reference adaptive system is used as a sensorless algorithm for rotor speed reconstruction. The association of dual estimators can increase the control system’s reliability and reduce its cost. The effectiveness of the proposed control algorithm has been verified through simulation and experimental work using MATLAB/Simulink software and dSpace 1104 implementation board, respectively.

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