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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.13 No.1
- 발행연도
- 2018.1
- 수록면
- 451 - 459 (9page)
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초록· 키워드
오류제보하기
This work presents an approach for modeling of electric vehicle considering the vehicle dynamics, drive train, rotational wheel and load dynamics. The system is composed of IPMSM (Interior Permanent Magnet Synchronous Motor) coupled with the wheels through a drive train. Generally, IPMSM is controlled by ordinary PID controllers. Performance of the ordinary PID controller is not satisfactory owing to the difficulties of optimal gain selections. To overcome this problem, a new type of fuzzy logic gain tuner for PID controllers of IPMSM is required. Therefore, in this paper fuzzy logic based gain tuning method for PID controller is proposed and compared with some previous control techniques for the better performance of electric vehicle with an optimal balance of acceleration, speed, travelling range, improved controller quality and response. The model was developed in MATLAB/Simulink, simulations were carried out and results were observed. The simulation results have proved that the proposed control system works well to remove the transient oscillations and assure better system response in all conditions.
목차
Abstract
1. Introduction
2. Modeling of Electric Vehicle
3. Various Control Strategies
4. Simulation Studies
5. Conclusion
References
참고문헌 (15)
참고문헌 신청
Bambang Sri Kaloko, Soebagio, Mauridhi Hery Purnomo, Design and Development of Small Electric Vehicle using MATLAB/Simulink, international Journal of Computer Applications (0975 ? 8887) Volume 24? No.6, June 2011.
Dhameja, S., Electric Vehicle Battery Systems, Newnes, US. 2002.
Cao, S.-G., Rees, N. & Feng, G. [1999]. Analysis and design of fuzzy control systems using dynamic fuzzystate space models, Fuzzy Systems, IEEE Transactions on 7(2): 192-200.
Chen, C.-L. & Chang, M.-H. [1998]. optimal design of fuzzy sliding-mode control: A comparative study, Fuzzy Sets and Systems 93(1): 37-48.
Kovacic, Z. & Bogdan, S. [2006]. Fuzzy Controller Design: Theory and Applications, CRC Press.
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