Simulation of Three-Phase Induction Motor Control Using Fuzzy Logic Controller
A fuzzy logic controller has been developed and simulated on an indirect vector control of an induction motor (IVCIM) drive system. The objective of the indirect vector control is to convert the three-phase induction motor into a linear device where the torque and the flux in the motor can be con...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/5971/1/FK_2004_105.pdf http://psasir.upm.edu.my/id/eprint/5971/ |
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| Summary: | A fuzzy logic controller has been developed and simulated on an indirect vector
control of an induction motor (IVCIM) drive system. The objective of the indirect
vector control is to convert the three-phase induction motor into a linear device
where the torque and the flux in the motor can be controlled independently. The
induction motor is fed by a current-controlled PWM inverter. The proposed fuzzy
speed controller block in a vector controlled drive system observes the pattern of the
speed loop error signal and correspondingly updates its output, so that the actual
speed matches the command speed.
The design of the fuzzy controller starts with identifying the inputs, performing the
membership functions for the two inputs of the FLC and ends at manipulating the
final command signal to the current regulator which triggers the inverter.The fuzzy logic toolbox has been used to build the fuzzy inference system (FIS)
which is the dynamo of the fuzzy logic controller. The proposed FLC controller has
been designed to meet the speed tracking requirements under a step change in speed
and load changes.
The proposed FLC drive dynamic performance has been investigated and tested
under different operating conditions by simulation in the SimulinMMatlab software
environment. In order to prove the superiority of the FLC, a conventional PI
controller based IM drive system has also been simulated.
The simulation results obtained have proved the very good performance and
robustness of the proposed FLC. It is concluded that the proposed fuzzy logic
controller has shown superior performances over the conventional PI controller. |
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