Investigation of direct torque control system fed by modified cascade of multilevel voltage source inverter

Author(s):  
M. Bendyk ◽  
M. Hartman ◽  
M. Jayne
2015 ◽  
Vol 792 ◽  
pp. 101-106 ◽  
Author(s):  
Alexander Pugachev

The advantages and shortcomings of three-level voltage source inverters to be applied on locomotive traction electric drives are highlighted in relation to two-level ones. To protect wheels from slipping on rails, the control system is designed. The control system with protection from slipping uses system of direct torque control as the subordinated contour to produce control signals on voltage source inverter. The topology and principles of operation of both protections from slipping and direct torque control of traction induction motor with three-level voltage source inverters are described. The simplified structure of mechanical part of traction drive using basic and axle suspension is considered. The adequacy of designed control system is confirmed by means of Matlab, the results of mathematical modeling show a high convergence with the results of physical model of traction drive.


Author(s):  
Sadegh Vaez-Zadeh

An overview of permanent magnet synchronous (PMS) motors and the related control system are presented in this chapter as introductory materials for the rest of the book. The interconnections of the control system to the power electronic inverter and the motor are emphasized. In addition, the major parts of the system are overviewed. Pulse width-modulated voltage source inverter, as the most commonly used power converter in PMS motor drives, is briefly discussed. PMS motors configurations and operating principles are also presented after considering characteristics of permanent magnet materials. Major PMS motor control methods including vector control, direct torque control, predictive control, deadbeat control, and combined vector and direct torque control are briefly reviewed. Finally, several rotor position and speed estimation schemes, and offline and online parameter estimation methods are overviewed.


2019 ◽  
Vol 13 ◽  
Author(s):  
Farid Kadri ◽  
Mohamed Assaad Hamida

Background: The need for a diagnosis today, becomes a necessity for variable speed AC drives in several industrial applications. An important research axis is oriented towards monitoring the state of the converter supplying the electric motor. Indeed, the voltage source inverter is likely to have switching faults. Therefore, an emergency stop of the motor drive must be done. Objective: After reviewing related patents and works, the objective of this paper is to identify the feasibility of fault detection and diagnosis in a three-phase inverter feeding an induction motor. Methods: The proposed approach is a simple threshold fault classification method applied to fault diagnosis of a direct torque control (DTC) induction motor drive using the stator Concordia mean current vector. With a fault occurrence, a localization domain consisting of seven patterns is constructed. Results: Simulated results on 1.5-kW induction motor drive show the effectiveness of the proposed approach with a good classification performance. Conclusion: The classification performance of our simple diagnosis system is acceptable for one fault occurrence compared to others methods. Faulty switch detection and identification is completed within a few periods of current. Using intelligent technique should improve classification performances for multiple faults occurrence.


Author(s):  
Farid Kadri ◽  
Mohamed A. Hamida

Background: The study of induction motor behavior during abnormal conditions due to the presence of faults and the possibility to diagnose these abnormal conditions has been a challenging topic for many electrical machine researchers. Objective: Direct Torque Control (DTC) is applied to the control of an induction motor in healthy and an open circuit fault in the PWM three phase voltage fed inverter. Neural DTC is developed and used to improve the dynamic behavior of the drive system under faulty switch occurrence. Methods: The validity of the proposed control scheme is tested under normal conditions and switching fail in the Voltage Source Inverter (VSI) caused by an open circuit. Through a simulation testing of an induction motor drive system at different speed references, a comparison between basic DTC and Neural DTC is performed. Results: Simulated results on 1.5-kW induction motor drive show the performance of the proposed control in normal and faulty cases. The stator current, flux, torque, and speed at different references are determined and compared in the above techniques using MATLAB-SIMULINK. Conclusion: A Neural Network (NN) DTC control system under an open switch fault is proposed without the need for classical switching table. The use of hybrid intelligent techniques aims to improve the DTC performances in case of multiple faults occurrence.


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