Development of position tracking of BLDC motor using adaptive fuzzy logic controller
The brushless DC (BLDC) motor has many advantages including simple to construct, high torque capability, small inertia, low noise and long life operation. Unfortunately, it is a non-linear system whose internal parameter values will change slightly with different input commands and environment...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/2262/1/24p%20ELIA%20NADIRA%20SABUDIN.pdf http://eprints.uthm.edu.my/2262/2/ELIA%20NADIRA%20SABUDIN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2262/3/ELIA%20NADIRA%20SABUDIN%20WATERMARK.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The brushless DC (BLDC) motor has many advantages including simple to
construct, high torque capability, small inertia, low noise and long life operation.
Unfortunately, it is a non-linear system whose internal parameter values will change
slightly with different input commands and environments. In this proposed
controller, Takagi-Sugeno-Kang method is developed. In this project, a FLC for
position tracking and BLDC motor are modeled and simulated in
MATLAB/SIMULINK. In order to verify the performance of the proposed
controller, various position tracking reference are tested. The simulation results show
that the proposed FLC has better performance compare the conventional PID
controller. |
|---|