Vector approximation method with parameter adaptation and torque control of CSI-fed induction motor

1995 ◽  
Vol 31 (4) ◽  
pp. 830-840 ◽  
Author(s):  
K. Ide ◽  
Zhi-Guo Bai ◽  
Zi-Jiang Yang ◽  
T. Tsuji
Keyword(s):  
Induction Motor ◽  
Approximation Method ◽  
Torque Control ◽  
Parameter Adaptation ◽  
Vector Approximation

Real Time Implementation of High Performance’s Direct Torque Control of Induction Motor on FPGA

2014 ◽  
Vol 9 (5) ◽  
pp. 919 ◽  
Author(s):  
Saber Krim ◽  
Soufien Gdaim ◽  
Abdellatif Mtibaa ◽  
Mohamed Faouzi Mimouni
Keyword(s):  
Real Time ◽  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control

scholarly journals FPGA in-the-loop implementation of direct torque control for induction motor

Automatika ◽  
2021 ◽  
pp. 1-9
Author(s):  
Ahmet Gundogdu ◽  
Resat Celikel ◽  
Besir Dandil ◽  
Fikret Ata
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control

scholarly journals Robust Sensorless Model-Predictive Torque Flux Control for High-Performance Induction Motor Drives

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 403
Author(s):  
Ahmed G. Mahmoud A. Aziz ◽  
Hegazy Rez ◽  
Ahmed A. Zaki Diab
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Core Loss ◽  
Parameters Estimation ◽  
Torque Control ◽  
Flux Control ◽  
Control Approach ◽  
Light Load ◽  
Wide Range ◽  
Lyapunov’S Theorem

This paper introduces a novel sensorless model-predictive torque-flux control (MPTFC) for two-level inverter-fed induction motor (IM) drives to overcome the high torque ripples issue, which is evidently presented in model-predictive torque control (MPTC). The suggested control approach will be based on a novel modification for the adaptive full-order-observer (AFOO). Moreover, the motor is modeled considering core losses and a compensation term of core loss applied to the suggested observer. In order to mitigate the machine losses, particularly at low speed and light load operations, the loss minimization criterion (LMC) is suggested. A comprehensive comparative analysis between the performance of IM drive under conventional MPTC, and those of the proposed MPTFC approaches (without and with consideration of the LMC) has been carried out to confirm the efficiency of the proposed MPTFC drive. Based on MATLAB® and Simulink® from MathWorks® (2018a, Natick, MA 01760-2098 USA) simulation results, the suggested sensorless system can operate at very low speeds and has the better dynamic and steady-state performance. Moreover, a comparison in detail of MPTC and the proposed MPTFC techniques regarding torque, current, and fluxes ripples is performed. The stability of the modified adaptive closed-loop observer for speed, flux and parameters estimation methodology is proven for a wide range of speeds via Lyapunov’s theorem.

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