Earticle

초록

영어

The Next Future Commercialized 4WD Electric Vehicle Future (EV) is designed to minimize the autonomous, the time range of starting and acceleration, in order to improve the vehicle stability and the other dynamic performances for this reason the multi-input multi-output fuzzy logic controller (MIMO-FLC) was presented and implemented in the electrical traction system forming the maximum control process, the advantages of this control structure ( MIMO-FLC) is to give more and more safety and stability for the 4WD comparing with the classical fuzzy controller , The main object of this paper is to show the efficiency of the MIMO-FLC applied on four speeds electric vehicles, the 4WD is powered by four induction motors of 15 kilowatts of each one developing an effort of 338 N. m as global torque so this kind of vehicle consist of two front directing wheels and rear propulsion wheels . The MIMO-FLC control technique is simulated in MATLAB SIMULINK environment. The simulation results proves that the MIMO-FLC method decreases the error speeds of the differential electronic at any curves and mainting the vehicle stability at the curved roads when the transient oscillations are decreased and give good dynamical performance for the vehicle using four induction motors for motion ,it’s clearly that the proposed control present more robustness comparing with the SISO classical ones which have many more problems during the vehicle driving , the results obtained present satisfactory and the vehicle designer must take into consideration the stability effect for the 4WD vehicle moving in road with different topologies using the MIMO-FLC control.

목차

Abstract
 1. Introduction
 2. Electric Vehicle Mechanical Load Description
 3. Direct Torque Control Strategy Based Space Vector Modulation(SVM-DTC)
 4. Multi-Input Multi-Output Fuzzy Controller Structure
 5. Simulation Results
 6. Conclusion
 References

키워드

저자

• Brahim Gasbaoui [ Faculty of the sciences and technology, Bechar University ]
• Abdelfatah Nasri [ Faculty of the sciences and technology, Bechar University ]
• Abdellah Laoufi [ Faculty of the sciences and technology, Bechar University ]
• Youssef Mouloudi [ Faculty of the sciences and technology, Bechar University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605