Earticle

초록

영어

In this paper, a new control theory based on fuzzy-logic will be proposed for the purpose of enhancing vehicle ride performance. In the first step, a half car model with four DOF will be analyzed by Lagrange equations after which a conventional semi-active skyhook controller will be built. Then a new control model that considering vehicle mass as well as vehicle speed will be provided, the advantage of this controller will be studied. Harmonic excitation and Random excitation will be given as road input. All the models that proposed will be accomplished through matlab/simulink. The four outcome parameters of two types, namely, the body acceleration and the pitch acceleration will be compared in time domain and frequency domain among three conditions which can be described as passive, conventional skyhook and self-tuning respectively. Finally, the models will be implemented on dsPACE to verify whether the theory can be used on real vehicles. Though the graphics and the hardware in the loop test we can come to a conclusion that vehicle suspensions arm with fuzzy-logic based self-tuning controllers has the best ride properties which hold practical values.

목차

Abstract
 1. Introduction
 2. Half Car Model Analysis
 3. Conventional Skyhook Control Strategy
 4. Fuzzy Logic Based Self-tuning Model
 5. Road Input Model
 6. Simulation and HIL Experiment
 7. Conclusion
 Acknowledgements
 References

키워드

저자

• Jin LiQiang [ State Key Laboratory of Automotive Simulation and Control, JiLin University, Chang Chun, China ]
• Liu Yue [ State Key Laboratory of Automotive Simulation and Control, JiLin University, Chang Chun, China ]

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