Direct Torque Control Using Fuzzy and Neural as Switching Vector Selector for Doubly Fed IM

2013 ◽  
Vol 646 ◽  
pp. 134-138
Author(s):  
Fethia Hamidia ◽  
Abdelakader Larabi ◽  
Mohamed Seghir Boucherit
Keyword(s):  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Switching Frequency ◽  
Load Torque ◽  
Control Approach ◽  
High Torque ◽  
Simulation Results ◽  
Low Torque ◽  
Doubly Fed

The conventional Direct Torque Control approach has some drawbacks such as high torque ripple and switching frequency, which is varying with speed, load torque and the selected hysteresis bands, this paper discuss the application of neural network and fuzzy logic on DTC of Doubly fed induction motor DFIM, the proposed techniques having the advantages of low torque and flux ripples. Simulation results emphasize the good performance of the fuzzy and neural techniques.

Constant Frequency Torque Controller for DTC with Multilevel Inverter of Induction Machines

2016 ◽  
Vol 7 (1) ◽  
pp. 28
Author(s):  
Norjulia Mohamad Nordin ◽  
Naziha Ahmad Azli ◽  
Nik Rumzi Nik Idris ◽  
Nur Huda Ramlan ◽  
Tole Sutikno
Keyword(s):  
Dynamic Performance ◽  
Direct Torque Control ◽  
Induction Machines ◽  
Torque Control ◽  
Multilevel Inverter ◽  
Switching Frequency ◽  
Constant Frequency ◽  
Hysteresis Controller ◽  
High Torque ◽  
Simulation Results

Direct Torque Control using multilevel inverter (DTC-MLI) with hysteresis controller suffers from high torque and flux ripple and variable switching frequency. In this paper, a constant frequency torque controller is proposed to enhance the DTC-MLI performance. The operational concepts of the constant switching frequency torque controller of a DTC-MLI system followed by the simulation results and analysis are presented. The proposed system significantly improves the DTC drive in terms of dynamic performance, smaller torque and flux ripple, and retain a constant switching frequency.

scholarly journals A Low Torque Ripple Direct Torque Control Method for Interior Permanent Magnet Motor

2020 ◽  
Vol 10 (5) ◽  
pp. 1723 ◽  
Author(s):  
Min-Fu Hsieh ◽  
Yun-Chung Weng
Keyword(s):  
Permanent Magnet ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Voltage Source ◽  
System Response ◽  
Switching Frequency ◽  
Flux Linkage ◽  
Simple Method ◽  
Low Torque

This paper proposes a simple method to generate stable voltage commands for permanent magnet synchronous motors to achieve low torque ripple based on space vector modulation direct torque control (SVM-DTC). The relationship between applied voltage and electromagnetic torque is first analyzed and the effect of the voltage and flux linkage on torque ripple is discussed. Then, the new method is developed to reduce torque ripple by giving low-fluctuation voltage commands to the voltage source inverter. The magnitude of the voltage command is calculated by avoiding the effect of flux linkage angle that can be estimated inaccurately during motor operation. Therefore, the fluctuation of the voltage command can be significantly reduced. In order to validate the proposed method, Simulink is first used for simulation and the performance of the proposed method is evaluated. It is found that the torque ripple can be substantially reduced while keeping a low switching frequency and improving system response. Then, a hardware-in-the-loop (HIL) technique is applied to test the developed algorithm that is written into a Texas Instruments microcontroller. This validates the simulation results and the proposed method.

scholarly journals Improved Direct Torque Control Based on Neural Network of the Double-Star Induction Machine Using Deferent Multilevel Inverter

2020 ◽  
Author(s):  
Mohamed Haithem Lazreg ◽  
Abderrahim Bentaallah
Keyword(s):  
Neural Network ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Torque Ripple ◽  
Double Star ◽  
Torque Control ◽  
Switching Frequency ◽  
Simulation Results ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

In this chapter, we will compare the performance of a multilevel direct torque control (DTC) control for the double-star induction machine (DSIM) based on artificial neural network (ANN). The application of DTC control brings a very interesting solution to the problems of robustness and dynamics. However, this control has some disadvantages such as variable switching frequency, size, and complexity of the switching tables and the strong ripple torque. A solution to this problem is to increase the output voltage level of the inverter and associate the DTC control with modern control techniques such as artificial neural networks. Theoretical elements and simulation results are presented and discussed. As results, the flux and torque ripple of the five-level DTC-ANN control significantly reduces compared to the flux and torque ripple of the three-level DTC-ANN control. By viewing the simulation results using MATLAB/Simulink for both controls, the results obtained showed a very satisfactory behavior of this machine.

scholarly journals Torque ripples improvement of direct torque controlled five-phase induction motor drive using backstepping control

2020 ◽  
Vol 11 (1) ◽  
pp. 64
Author(s):  
Hamdi Echeikh ◽  
Ramzi Trabelsi ◽  
Hichem Kesraoui ◽  
Atif Iqbal ◽  
Mohamed Faouzi Mimouni
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Control Unit ◽  
Torque Ripple ◽  
Torque Control ◽  
Motor Drive ◽  
Switching Frequency ◽  
Induction Motor Drive ◽  
Load Torque ◽  
Torque Ripples

The paper proposes Direct Torque Control (DTC) of a five-phase induction motor drive with reduced torque ripple. The method presented here is the DTC Backstepping based on the classic DTC working with a constant switching frequency of the inverter. Another remarkable aspect is the complexity of the method proposed, both in the control unit of the inverter and in the number of correctors necessary for the control of the torque. The selection table and hysteresis have been eliminated. This method significantly improves the torque and flux oscillations and improves the dynamics of the drive by making it less sensitive to load torque disturbances. The proposed method is developed and designed using Matlab/SIMULINK to show the eectiveness and performances of the DTC-Backstepping.

Study on speed sensorless system of permanent magnet synchronous motor based on improved direct torque control

2021 ◽  
pp. 014233122110629
Author(s):  
Xiaoxin Hou ◽  
Mingqian Wang ◽  
Guodong You ◽  
Jinming Pan ◽  
Xiating Xu ◽  
...  
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
Torque Control ◽  
Switching Frequency ◽  
Speed Sensorless ◽  
Stator Resistance

The traditional direct torque control system of permanent magnet synchronous motor has many problems, such as large torque ripple and variable switching frequency. In order to improve the dynamic and static performance of the control system, a new torque control idea and speed sensorless control scheme are proposed in this paper. First, by deriving the equation of torque change rate, an improved torque controller is designed to replace the torque hysteresis controller of the traditional direct torque control. The improved direct torque control strategy can significantly reduce the torque ripple and keep the switching frequency constant. Then, based on the improved direct torque control and considering the sensitivity of the stator resistance to temperature change, a speed estimator based on the model reference adaptive method is designed. This method realizes the stator resistance on-line identification and further improves the control precision of the system. The performance of the traditional direct torque control and the improved direct torque control are compared by simulation and experiment under different operating conditions. The simulation and experimental results are presented to support the validity and effectiveness of the proposed method.

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