Speed regulation of IVCIM using PI, fuzzy and NN predictive controller

Author

Bhushar, B. ; Singh, Monika ; Valluru, S.K. ; Prakash, P.

Author_Institution

Dept. of Electr. Eng., Delhi Technol. Univ., New Delhi, India

fYear

2012

fDate

19-22 Dec. 2012

Firstpage

1

Lastpage

6

Abstract

In this paper, performance of an indirect vector control induction motor (IVCIM) has been studied with proportional plus integral (PI), fuzzy logic and neural network (NN) based controllers. Implementation of PI, fuzzy logic control and NN predictive control for studies of regulation of speed in IVCIM is described under different operating conditions of induction motor. Simulation studies of IVCIM have been carried out in MATLAB. Stator currents, electromagnetic torque and rotor speed of IVCIM have been analyzed using three controllers. A comparative performance analysis of IVCIM with three different controllers has been discussed.

Keywords

PI control; angular velocity control; fuzzy control; induction motors; machine vector control; neurocontrollers; predictive control; torque control; IVCIM rotor speed; IVCIM speed regulation; MATLAB; NN predictive controller; PI predictive controller; electromagnetic torque; fuzzy logic control; fuzzy predictive controller; indirect vector control induction motor; induction motor operating conditions; neural network-based controllers; proportional plus integral; speed regulation; stator currents; Artificial neural networks; Fuzzy logic; Induction motors; Mathematical model; Predictive control; Torque; Fuzzy logic control; Indirect Vector Control; Induction Motor; Neural Network Predictive control; PI control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power India Conference, 2012 IEEE Fifth

Conference_Location

Murthal

Print_ISBN

978-1-4673-0763-5

Type

conf

DOI

10.1109/PowerI.2012.6479507

Filename

6479507