Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller

2016 ◽  
Vol 99 (3) ◽  
pp. 803-815 ◽  
Author(s):  
K. Zeb ◽  
Z. Ali ◽  
K. Saleem ◽  
W. Uddin ◽  
M. A. Javed ◽  
...  
2009 ◽  
Vol 42 (13) ◽  
pp. 97-102
Author(s):  
Maha Khamis Al-Sulaiti ◽  
Haitham Abu-Rub ◽  
Hazem Nounou ◽  
Aeysha Al-Khuleifi ◽  
Amna Al-Motawa ◽  
...  

This paper shows the real implementation of fuzzy logic controller in an AC drive system (Induction motor Drive) under Solar PV array-based system. The switching of boost converter is controlled with help of fuzzy logic by taking inputs from solar PV array while For Inverter switching is done by using fuzzy logic controller by taking inputs from induction motor drive. Initially, 20 kW solar PV array is designed for feeding the 10Kw Induction motor drive with the help MATLAB/SIMULINK. The complete system gives reliable, smooth, efficient, lesser harmonic content level in the output.


Author(s):  
Roslina Mat Ariff ◽  
Dirman Hanafi ◽  
Wahyu Mulyo Utomo ◽  
Nooradzianie Muhammad Zin ◽  
Sy Yi Sim ◽  
...  

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.


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