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RISS 인기검색어
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- 저자 : Jibin Hu (검색결과 2 건)
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Loss of Torque on Magnetic Fluid Seals with Rotating-shafts
Jianhui Hu,Meng Zhao,Lu Wang,Jibin Zou,Yong Li 한국자기학회 2017 Journal of Magnetics Vol.22 No.2
The effects of loss of torque on magnetic fluid seals with rotating-shafts and the general difficulty of studying magnetic fluid seals are the focus of this work. The mechanism underlying loss of torque on such seals is analyzed using theoretical methods that show that loss of torque can be affected by several factors, including the velocity of the rotating-shaft, the structure of the sealing device, the characteristics of the magnetic field, and the characteristics of the magnetic fluid. In this paper, a model of the loss of torque is established, and the results of finite element analysis and testing and simulations are analyzed. It is concluded that (ⅰ) the viscosity of the magnetic fluid increased with the intensity of the magnetic field within a certain range; (ⅱ) when the magnetic fluid was saturated, the increase in loss of torque tended to gradually slow down; and (ⅲ) although the axial active length of the magnetic fluid may decrease with increasing speed of the rotating-shaft, the loss of torque increased because of increasing friction.
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PATH TRACKING FOR AUTONOMOUS RACE CAR BASED ON G-G DIAGRAM
Miaomiao Fu,Jun Ni,Xueyuan Li,Jibin Hu 한국자동차공학회 2018 International journal of automotive technology Vol.19 No.4
Currently, the autonomous driving technique is attracting increasing research focus from all over the world. Generally, the control systems of an autonomous vehicle include environment perception, path planning and path tracking control systems. In this paper, the path tracking control issue of the autonomous vehicle will be focused on. Few of the previous proposed path tracking controllers consider the vehicle driving and handling limit, which degenerates the potential of the autonomous vehicle to finish the desired path as quick as possible. To this end, this paper proposes a path tracking controller for autonomous vehicle, which aims at pushing it to the driving and handling limit. The limit dynamic performance of the autonomous vehicle is represented by the G-G diagram, which indicates the acceleration capability of the autonomous vehicle. The G-G diagram is obtained by phase portrait method and it is validated by a modified FSAE racing car. Finally, a path tracking controller based on the G-G diagram is proposed. The simulation validation results demonstrate the effectiveness of the proposed controller.
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