Fuzzy logic control design for field oriented control to improve induction motor drive system
This paper focuses on improve performance of induction motor (IM) by control the speed. Fuzzy logic control (FLC) is design for in field oriented control (FOC) based structure associated with an induction motor (IM). FLC has ability to confront the uncertainties existing in the IFOC determined throu...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5870/ http://eprints.uthm.edu.my/5870/4/11_x.pdf |
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| Summary: | This paper focuses on improve performance of induction motor (IM) by control
the speed. Fuzzy logic control (FLC) is design for in field oriented control (FOC)
based structure associated with an induction motor (IM). FLC has ability to
confront the uncertainties existing in the IFOC determined through model of
IM. The type of FLC that using is Segeno fuzzy logic. The inputs of FLC are the
error (e) and derivative error (de) between actual speed and reference speed. The
output of FLC is the daxesstator current (ids). Membership functions are chosen
based to parameter of the motor model. The speed control of IM is importance
to achieve maximum torque efficiency. FLC applied in this paper to control
speed of induction motor to achieve maximum torque to minimum loss. Motor
state variable be identified using indirect by using IM model. High performance
for speed of IM drives needs proper control of motor speed and produce
electromagnetic torque. A complete model for Indirect Field Oriented Control
(IFOC) of induction motor incorporating the purposed FLC is developed. The
simulation design is test using MATLAB Simulink program. The simulation
result shows in a steady state, the efficiency increase and reduce the ripple.
Furthermore, the FLC is able to improve performance for IFOC of induction
motor. |
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