scholarly journals RESEARCH OF THE DIRECT TORQUE CONTROL SYSTEM BY INDUCTION MOTOR

2018 ◽  
Vol 2 (48) ◽  
pp. 3-8
Author(s):  
Ahmed Ibrahim Jaber Alzubaydy ◽  
V. P. Dorohobid ◽  
Mohammed Saady Hasan ◽  
M. K. Borozdin
Keyword(s):  
Control System ◽  
Induction Motor ◽  
Mathematical Description ◽  
Direct Torque Control ◽  
Torque Control ◽  
Transient Processes ◽  
Flux Coupling ◽  
Matlab Program ◽  
Stator Flux ◽  
The Moment

The article presents a mathematical description of an induction motor with further modeling in the MATLAB program. In the model, the method of direct torque control (DTC) is implemented. The basic idea of control is that at each step of the calculation the optimum state of the inverter voltage is determined, which causes a change in both the moment and the stator flux coupling in the necessary direction. The obtained transient processes.

scholarly journals Performance Improvement of Servo Control System Driven by Novel PMSM-DTC Based On Fixed Sector Division Criterion

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2154 ◽  
Author(s):  
Dazhi Wang ◽  
Tianqing Yuan ◽  
Xingyu Wang ◽  
Xinghua Wang ◽  
Yongliang Ni
Keyword(s):  
Control System ◽  
Performance Improvement ◽  
Error Compensation ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
Servo Control ◽  
Flux Linkage ◽  
Servo Control System ◽  
Stator Flux

In order to improve the performance of the servo control system driven by a permanent magnet synchronous motor (PMSM) under novel direct torque control (NDTC), which, utilizing composite active vectors, fixed sector division criterion, is proposed in this paper. The precondition of the accurate compensations of torque and flux errors is that the sector where the stator flux linkage is located can be determined accurately. Consequently, the adaptive sector division criterion is adopted in NDTC. However, the computation burden is inevitably increased with the using of the adaptive part. On the other hand, the main errors can be compensated through SV-DTC (DTC-utilizing single active vector), while another active vector applied in NDTC can only supply the auxiliary error compensation. The relationships of the two active vectors’ characteristics in NDTC are analyzed in this paper based on the active factor. Furthermore, the fixed sector division criterion is proposed for NDTC (FS-NDTC), which can classify the complexity of the control system. Additionally, the switching table for the selections of the two active vectors is designed. The effectiveness of the proposed FS-NDTC is verified through the experimental results on a 100-W PMSM drive system.

Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Direct Torque Control ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Ac Induction Motor

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

Improved Stator Flux Estimation for Direct Torque Control of Induction Motor Drives

2016 ◽  
Vol 7 (4) ◽  
pp. 1049
Author(s):  
Yahya Ahmed Alamri ◽  
Nik Rumzi Nik Idris ◽  
Ibrahim Mohd. Alsofyani ◽  
Tole Sutikno
Keyword(s):  
Induction Motor ◽  
Cutoff Frequency ◽  
Direct Torque Control ◽  
Motor Drives ◽  
Torque Control ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Flux Estimation ◽  
Stator Flux

<p>Stator flux estimation using voltage model is basically the integration of the induced stator back electromotive force (emf) signal. In practical implementation the pure integration is replaced by a low pass filter to avoid the DC drift and saturation problems at the integrator output because of the initial condition error and the inevitable DC components in the back emf signal. However, the low pass filter introduces errors in the estimated stator flux which are significant at frequencies near or lower than the cutoff frequency. Also the DC components in the back emf signal are amplified at the low pass filter output by a factor equals to . Therefore, different integration algorithms have been proposed to improve the stator flux estimation at steady state and transient conditions. In this paper a new algorithm for stator flux estimation is proposed for direct torque control (DTC) of induction motor drives. The proposed algorithm is composed of a second order high pass filter and an integrator which can effectively eliminates the effect of the error initial condition and the DC components. The amplitude and phase errors compensation algorithm is selected such that the steady state frequency response amplitude and phase angle are equivalent to that of the pure integrator and the multiplication and division by stator frequency are avoided. Also the cutoff frequency selection is improved; even small value can filter out the DC components in the back emf signal. The simulation results show the improved performance of the induction motor direct torque control drive with the proposed stator flux estimation algorithm. The simulation results are verified by the experimental results.</p>

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