Takagi-Sugeno fuzzy perpose as speed controller in indirect field oriented control of induction motor drive
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...
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Main Authors: | , , , , , |
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Format: | Article |
Published: |
Institute of Advanced Engineering and Science
2017
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/3330/ http://10.11591/ijpeds.v8i2.pp513-521 |
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Institution: | Universiti Tun Hussein Onn Malaysia |
Summary: | 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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