Abstract
Induction motor (IM) is one of the Alternating Current (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 Multi objective Genetic Algorithm (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.
| Original language | English |
|---|---|
| Pages (from-to) | 8663-8668 |
| Number of pages | 6 |
| Journal | ARPN Journal of Engineering and Applied Sciences |
| Volume | 10 |
| Issue number | 19 |
| Publication status | Published - 20 Oct 2015 |
| Externally published | Yes |
Keywords
- 3 phase induction motor
- Electric vehicle
- Fuzzy logic control
- MOGA optimization
ASJC Scopus subject areas
- General Engineering
