On the basis of mathematical model of two-wheeled self-balancing electrical motorcycle,we use virtual prototype technology in this paper to build mechanical system model and controling system model of two-wheeled self...
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ISBN:
(纸本)9781424497928
On the basis of mathematical model of two-wheeled self-balancing electrical motorcycle,we use virtual prototype technology in this paper to build mechanical system model and controling system model of two-wheeled self-balancing electrical motorcycle seperately in ADAMS and MATLAB,and then connect the both by ADAMS/Control interface module for realising interactive simulation of control under software system *** proves co-simulation of dynamic system and control system have promoted efficiency and reliability of two-wheeled selfbalancing electrical motorcycle designing,and it is a precise and high efficient optimal design method.
Intelligent video tracking technology is the digital video processing and analysis of an important field of application in the civilian and military defense have a wide range of applications. In this paper, a systemat...
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Agricultural informatization is the basis for the modernization of agriculture, at present there are many different ways of construction and models in agricultural information systems. Agricultural informatization for...
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Durian the promotion and applications of rural information, different geographical dialect voice interaction is a very complex issue. Through in-depth analysis of TTS core technologies, this paper presents the methods...
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With the developing of the agricultural information, it is inevitable trend of the development of agricultural electronic commercial affairs. On the basis of existing study on the development application model of e-co...
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This paper presents an experimental investigation of the mechanical behavior and buckling failure (viscoplastic behavior) of 304 stainless steel tubes with five different sharp-notched depths (0.2, 0.4, 0.6, 0.8 and 1...
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This paper presents an experimental investigation of the mechanical behavior and buckling failure (viscoplastic behavior) of 304 stainless steel tubes with five different sharp-notched depths (0.2, 0.4, 0.6, 0.8 and 1.0 mm) subjected to cyclic bending with three different curvature-rates (0.0035, 0.035 and 0.35 m-1s-1). A tube bending machine and curvature-ovalization measurement apparatus were used to control, measure and collect experimental data. It can be observed from the experiment data that the 304 stainless steel tube with any notch depth exhibits a cyclic hardening phenomenon from the moment and curvature relationship, and a steady-state loop of the moment-curvature curve is found after a few loading cycles. It can also be observed that the relationship between the ovalization and curvature demonstrates a nonsymmetric, ratcheting phenomenon. Higher notch depth leads to further nonsymmetry of the curve. It can be observed from the experimental curvature-number of cycles to produce buckling curves that five almost parallel straight lines can be found for five different sharp-notched depths at each curvature-rate in a log-log scale. Finally, by referring to the theoretical formulations proposed by Shaw and Kyriakides [1], and Pan and Her [2], a theoretical formulation was proposed to simulate the relationship between the controlled curvature and the number of cycles to produce buckling for 304 stainless steel tubes with different sharp-notched depths at different curvature-rates. By comparing theoretical analysis with experimental data, it is shown that the theoretical formulation can properly represent the experimental results.
It's very important to help developers design user interface for application in an intelligent user interface. Nowadays, the number of mobile based applications increases greatly, but there are no proper user mode...
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This paper presents a novel scheme for feature extraction for face recognition by fusing local and global discriminant features. The facial changes due to variations of pose, illumination, expression, etc. are often a...
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This paper presents a novel Hybrid Approach to Face Recognition using Generalized Two-Dimensional Fisher's Linear Discriminant (HAFR G-2DFLD) Method. It has been seen that the facial changes due to variations of p...
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Due to different imaging conditions, a fingerprint image may suffer from problems like translation, rotation, scaling and elastic distortion. A fingerprint recognition algorithm should address these problems for effic...
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