scholarly journals Control of a Double Feed and Double Star Induction Machine Using Direct Torque Control

10.5772/15887 ◽  
2011 ◽  
Author(s):  
Leila Benalia
Keyword(s):  
Direct Torque Control ◽  
Induction Machine ◽  
Double Star ◽  
Torque Control

scholarly journals Five-level Direct Torque Control with Balancing Strategy of Double Star Induction Machine

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Direct Torque Control ◽  
Induction Machine ◽  
Double Star ◽  
Torque Control ◽  
Current Waveform ◽  
Control Approach ◽  
Machine Drive ◽  
Three Phase ◽  
Waveform Distortion ◽  
Dynamic Performances

This work relates to the study of direct torque control of the double star induction machine drive fed by two five-level diode-clamped inverters. The analysis of the three-phase direct torque control shows that this concept can be extended easily to double star induction machine even when it is fed by a multilevel inverter. Diode-clamped inverter, as one of the prominent multilevel inverters, has several advantages like high voltage and low current waveform distortion. However, it suffers from the problem of neutral point potential variation. The variation causes an unbalance in the DC-link voltage levels and increases consequently the current waveform distortion. This problem can be solved in satisfactory way by using multilevel direct torque control equipped by a balancing strategy. The simulation results, illustrating the steady state and dynamic performances, prove the effectiveness of the proposed control approach.

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 Hardware Implementation of FTC of Induction Machine on FPGA

2017 ◽  
Vol 20 (2) ◽  
pp. 76
Author(s):  
S. Boukadida ◽  
S. Gdaim ◽  
A. Mtibaa
Keyword(s):  
Digital Signal Processor ◽  
Fault Tolerant ◽  
Design Method ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Digital Signal ◽  
Design Tool ◽  
Torque Control ◽  
Algorithm Efficiency ◽  
Comparison Results

In this paper, a new design method of Direct Torque Control using Space Vector Modulation (DTC-SVM) of an Induction Machine (IM), which is based on Fault Tolerant Control (FTC) is proposed. Due to its complexity, the FTC implemented on a microcontroller and a Digital Signal Processor (DSP) is characterized by a calculating delay. To solve this problem, an alternative digital solution is used, based on the Field Programmable Gate Array (FPGA), which is characterized by a fast processing speed. However, as an FPGAs increase in size, there is a need for improved productivity, and this includes new design flows and tools. Xilinx System Generator (XSG) is a high-level block-based design tool that offers bit and cycle accurate simulation. This tool can automatically generate the Very High-Density Logic (VHDL) code without resorting to a tough programming, without being obliged to do approximations and more we can visualize the behavior of the machine before implementation which is very important for not damage our machine. Simulation and experimental results using Hardware In the Loop (HIL) of the FTC based DTC-SVM is compared with those of the conventional DTC. The comparison results illustrate the reduction in the torque and stator flux ripples. Our purpose is to reveal our algorithm efficiency and to show the Xilinx Virtex V FPGA performances in terms of execution time. 

Simulink Implementation of Direct Torque Control Drive for Induction Machines

2011 ◽  
Vol 367 ◽  
pp. 89-96
Author(s):  
U. Zangina ◽  
H.N. Yahaya ◽  
M. Aminu ◽  
Z.O. Niyi
Keyword(s):  
Control Method ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Induction Machines ◽  
Torque Control ◽  
Control Technique ◽  
Computational Time ◽  
Suitable Alternative ◽  
Control Scheme ◽  
Transient Operations

Direct Torque Control (DTC) has emerged over the last two decades as a suitable alternative to the well-known Field Oriented Control (FOC) or vector control technique for electric drives mainly due to its simple control scheme, low computational time and reduced parameter sensitivity. In this paper, speed control of an induction machine based on DTC strategy has been developed and a comprehensive study is presented. The performance of the control method has been demonstrated by simulations using the Matlab/Simulink software package. Several numerical simulations have been carried out in steady state and transient operations.

Sign in / Sign up

Export Citation Format

Share Document