ANFIS implementation on a three phase vector controlled induction motor with efficiency optimisation

Author

Hussain, Shiraz ; Bazaz, Mohammad Abid

Author_Institution

Dept. of Electr. Eng., NIT, Srinagar, India

fYear

2014

fDate

4-5 April 2014

Firstpage

391

Lastpage

396

Abstract

With the application of intelligent controllers for a vector controlled induction motor drive, it is possible to achieve high dynamic performance drives. In this paper an Artificial Neural-Fuzzy Inference System (ANFIS) is implemented for a vector controlled induction motor. The efficiency of the system is also improved using an optimisation algorithm wherein the rotor flux weakening is done as the system stability is reached. Simulation of a 5 Hp, 460 V, 50 Hz induction motor is presented in this paper and speed tracking is achieved under different operating conditions.

Keywords

angular velocity control; fuzzy reasoning; induction motor drives; machine vector control; neurocontrollers; optimisation; rotors; ANFIS implementation; artificial neural-fuzzy inference system; efficiency optimisation; frequency 50 Hz; intelligent controllers; operating conditions; power 5 hp; rotor flux weakening; speed tracking; stability; three phase vector controlled induction motor drive; voltage 460 V; Induction motors; Machine vector control; Optimization; Rotors; Stators; Torque; Vectors; ANFIS; Efficiency optimisation; Field Oriented Control (FOC); Fuzzy Logic Controller (FLC); Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014 International Conference on

Conference_Location

Mumbai

Type

conf

DOI

10.1109/CSCITA.2014.6839293

Filename

6839293