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Research on Damping Noncoincidence and Its Influence Factors of Multibranch Hydropneumatic Suspension
Author(s) -
Junwei Zhang,
Sizhong Chen,
Zhicheng Wu,
Jianbo Feng,
Ying Fan
Publication year - 2014
Publication title -
advances in mechanical engineering/advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2014/362086
Subject(s) - suspension (topology) , stiffness , work (physics) , computer science , control theory (sociology) , axle , automotive engineering , structural engineering , mechanical engineering , engineering , mathematics , control (management) , artificial intelligence , homotopy , pure mathematics
Multibranch interconnected hydropneumatic suspension (MIHS) is increasingly applied in heavy multiaxle vehicle (HMV) for its superior characteristics, such as adjustable damping, and the antiroll and balancing axle load ability. However, as for multibranch hydropneumatic suspension, the stiffness and damping are coupled with each other tightly, which represents damping noncoincidence (DNC) problem. The DNC problem has become a key obstacle for developing suspension control technology and improving suspension performance. Firstly, a kind of MIHS structure is developed for an HMV, and the interconnected structure and principle are explained. Then the DNC problem is proposed and is given a description. And then, according to the researching needs, the suspension system model of single cylinder connected with multiple branches is built up based on the knowledge of state change of fluid and gas. Fourthly, the root cause of DNC problem is given according to simulation results. Fifthly, the impacts of three factors on DNC problem are studied, respectively, by adjusting excitation signal and system parameters in the simulation. The simulation results are quantitatively compared with regard to damping noncoincidence rate (DNCR). In the end, some conclusions are drawn based on the discussion and analysis and the future work is proposed

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