Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive

Roslina Mat Ariff (University Tun Hussein Onn Malaysia)
Dirman Hanafi (University Tun Hussein Onn Malaysia)
Wahyu Mulyo Utomo (University Tun Hussein Onn Malaysia)
Nooradzianie Muhammad Zin (University Tun Hussein Onn Malaysia)
Sy Yi Sim (University Tun Hussein Onn Malaysia)
Azuwien Aida Bohari (University Tun Hussein Onn Malaysia)

IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 5, No 4: December 2016

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.