Moga tuned pi-fuzzy logic control for 3 phase induction motor with energy efficiency for electric vehicle application
Induction motor is one of the AC motor having simple and rugged structure; moreover, they are economical and immune to heavy overloads. However the use of induction motor also has its disadvantages, mainly the controllability, due to its complex mathematical model and its nonlinear behavior. The con...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7216/ http://eprints.uthm.edu.my/7216/1/IC3E_2015_submission_176.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Induction motor is one of the AC motor having simple and rugged structure; moreover, they are economical and immune to
heavy overloads. However the use of induction motor also has its disadvantages, mainly the controllability, due to its complex mathematical model and its nonlinear behavior. The conventional controllers are unable to handle this problem. To overcome this problem a nonlinear PI- fuzzy logic controller and the used of MOGA optimization to minimizing the error is used to control the speed of electric vehicle traction motor. The development of this control strategy with Energy Efficiency is presented in this paper. The proposed controller has simple structure and also due to its modest fuzzy rule in rule- base is relatively easy for implementation. The control is performed by Matlab/Simulink software. The simulation test results have
been satisfactory in simulation results and demonstrated to confirm the performance of the MOGA optimized fuzzy can
reduce the power consumption with good tracking performance. This controller has high accuracy, suitable performance, high
robustness and high tracking efficiency. |
|---|