MRAS-Based Rotor Time Constant Estimation for Indirect Vector Controlled Induction Motor Drive

2012 ◽  
Vol 433-440 ◽  
pp. 6812-6818 ◽  
Author(s):  
Kan Donga ◽  
Li Jun Diaob ◽  
Da Nan Sun ◽  
Bai Shui Ruan ◽  
Zhi Gang Liu

Decoupling the stator current into magnetizing current and torque current, the vector control technique improves the performance of AC drive system effectively. However, the rotor time constant varies widely with rotor temperature and the flux level of the machine, which decreases the quality of the drive system. By the contrastive analysis of the variable current on-line estimation methods, this paper uses the Model Reference Adaptive System (MRAS) and designs a set of self-adaption estimation arithmetic which has its basis on the Lyapunov theorem of stability. The simulation shows that the estimation arithmetic has the characteristics of fast convergence speed, few stability errors, good track performance and etc. On the basis of simulation of the rotor time constant on-line estimation, this paper designs the system of vector control with the rotor time constant on-line estimation and has the simulation. According to the simulation results, applying the estimation to the vector control system can improve the performance of the system effectively and establish the theoretical basis of the research on the high-performance AC drive system.

Author(s):  
Mhamed Madark ◽  
A. Ba-Razzouk ◽  
E. Abdelmounim ◽  
M.El Malah

<p>In this paper, a novel approach to nonlinear control of induction machine, recursive on-line estimation of rotor time constant and load torque are developed. The proposed strategy combines Integrated Backstepping and Indirect Field Oriented Controls. The proposed approach is used to design controllers for the rotor flux and speed, estimate the values of rotor time constant and load torque and track their changes on-line. An open loop estimator is used to estimate the rotor flux. Simulation results are presented which demonstrate the effectiveness of the control technique and on-line estimation.</p>


2018 ◽  
Vol 160 ◽  
pp. 02006
Author(s):  
Zili Liao ◽  
Qijin Zhao ◽  
Xinxi Zhang ◽  
Luming Chen

This paper analysed the basic principle of speed sensorless vector control system. Based on speed and current closed loop vector control, combined with a simple and feasible current hysteresis control strategy, the whole speed sensorless system of asynchronous motor is simulated in MATLAB/Simulink. The method uses the Model Reference Adaptive System (MRAS). The observation and analysis of waveform shows that the system has good static performance and robustness. The control effects are also as similar as the vector control system which contains speed sensor.


1974 ◽  
Vol IA-10 (3) ◽  
pp. 397-402 ◽  
Author(s):  
S. D. Rajan ◽  
Linos J. Jacovides ◽  
William A. Lewis

2011 ◽  
Vol 19 (1) ◽  
pp. 271-282 ◽  
Author(s):  
Hechmi Ben Azza ◽  
Mohamed Jemli ◽  
Mohamed Boussak ◽  
Moncef Gossa

2010 ◽  
Vol 159 ◽  
pp. 616-621
Author(s):  
Hua Qiang Zhang ◽  
Xin Sheng Wang ◽  
Fei Fei Wang

On the basis of interior electromagnetism relationship and vector control principle, the vector control system of Permanent Magnet Synchronous Motor (PMSM) without position sensor is designed. There are two main identification methods are introduced to estimate the position and speed of PMSM. One scheme is based on the back Electromotive Force (EMF) and the other is Model Reference Adaptive Standard (MRAS). The former method achieves fast dynamic-state response while the later method obtains better steady-state performance. According to both of them advantages, an improved estimate method which combining the back EMF and the MARS is proposed. Simulation results show that the improved method is feasible and stable.


1974 ◽  
Vol IA-10 (3) ◽  
pp. 391-396 ◽  
Author(s):  
S. D. Rajan ◽  
Linos J. Jacovides ◽  
William A. Lewis

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