Rotor Speed Adaptive Identification of Direct Torque Control for Induction Motor

2010 ◽  
Vol 139-141 ◽  
pp. 1785-1788
Author(s):  
Zhi Ting She ◽  
Yong Zheng ◽  
Yong Jin Peng
Keyword(s):  
Induction Motor ◽  
Reference Model ◽  
Direct Torque Control ◽  
Torque Control ◽  
System Stability ◽  
Rotor Speed ◽  
Speed Sensorless ◽  
Model Reference ◽  
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. 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 control system can obtain high-precision speed identification. Simulation results show 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.

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.

Modified MRAS Speed Controller for Direct Torque Controlled Sensorless Induction Motor Drives

2013 ◽  
Vol 423-426 ◽  
pp. 2059-2062
Author(s):  
Hsiu Ping Wang ◽  
Yu Feng Chang ◽  
Fwu Hsing Liu
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Motor Drives ◽  
Torque Control ◽  
Speed Estimation ◽  
Model Reference ◽  
Speed Controller ◽  
System A ◽  
Structure Scheme ◽  
Model Reference Adaptive

This paper presents a Modified model reference adaptive system (MMRAS) speed controller for speed estimation of induction motor using model-reference adaptive scheme (MRAS) approach in a direct torque control system. A good speed controller of induction motor can enhance the speed estimation of sensorless drives. The MMRAS controller can reduce effect of parameter variations and nonlinearities in the induction motor, and approaches to desired performance of referenced model. So, the presented controller can enhance the performance of speed estimation. The availability of the proposed structure scheme is verified by through under computation simulations with MATLAB software. Simulation results are presented in order to prove the availability of the proposed structure scheme.

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

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