Title :
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
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;
Conference_Titel :
Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014 International Conference on
Conference_Location :
Mumbai
DOI :
10.1109/CSCITA.2014.6839293
