Artificial intelligence based high performance direct torque and flux control of induction motor drive

Author

Ramesh, Tejavathu ; Panda, Anup Kumar ; Bonala, Sathyam

Author_Institution

Department of Electrical Engineering, National Institute of Technology, Rourkela, Orissa, India

fYear

2013

fDate

20-21 March 2013

Firstpage

225

Lastpage

230

Abstract

In this research study, direct torque and flux control of induction motor drive (IMD) using artificial intelligence based speed control loop (SCL) to minimize the ripple contents of the stator current, flux and electromagnetic torque, and also improving the speed response under transient and steady state conditions. It is quite difficult to optimize the high performance of DTC of IMD with conventional (PI-controller) scheme, because of the nonlinear model of induction motor. This system requires accurate and continuous tuning of gain values. Therefore, the fuzzy logic controller (FLC) and PI-FLC techniques are proposed to improve the system performance. The detailed simulation results are presented in forward motoring under no-load, load and sudden change in speed conditions using MATLAB/Simulink software to support the feasibility of the proposed control strategy.

Keywords

Hysteresis; Direct torque control (DTC); Fuzzy logic control (FLC); Induction motor drives (IMD); PI-controller; Speed control Loop (SCL);

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on

Conference_Location

Nagercoil

Print_ISBN

978-1-4673-4921-5

Type

conf

DOI

10.1109/ICCPCT.2013.6529022

Filename

6529022