Paper Title
Modeling And Field Oriented Control Of Induction Motor By Using An Adaptive Neuro Fuzzy Interference System Control Technique

This paper presents the implementation of an adaptive neuro fuzzy interference system (ANFIS) technique for controlling the speed of the induction motor. The proposed controller is the combination of Artificial Neural Network (ANN) and Fuzzy Logic Controller (FLC). The ANN used for determining the appropriate inputs to control the system and FLC is an intelligent controller used for analyzing the system control inputs in terms of logic variables. In the proposed control scheme, the speed variation of the motor will be measured from the rotor shaft position. Because, in field oriented control scheme, the rotor shaft position ensures the speed range behavior of the motor. In direct torque control (DTC), the actual torque and the change of torque of the induction motor is applied to the ANFIS. From the output of ANFIS, the control electromagnetic torque value is obtained and the speed of the motor is controlled. The proposed control technique is implemented in MATLAB/SIMULINK platform and the output performance will be evaluated. The proposed ANFIS based DTC speed control technique is compared with PI controller and fuzzy controller.