A High Speed Dynamic System for Scanning Reflective Surface with Rotating Polarized Filters

2014 ◽  
pp. 59-69 ◽  
Author(s):  
Ryo Ogino ◽  
Jay Arre Toque ◽  
Pengchang Zhang ◽  
Ari Ide-Ektessabi
Keyword(s):  
Dynamic System ◽  
High Speed ◽  
Reflective Surface

Dynamic analysis of enhanced gear transmissions in the vehicle-track coupled dynamic system of a high-speed train

2021 ◽  
pp. 1-23
Author(s):  
Zhiwei Wang ◽  
Zhonghui Yin ◽  
Paul Allen ◽  
Ruichen Wang ◽  
Qing Xiong ◽  
...  
Keyword(s):  
Dynamic System ◽  
Dynamic Analysis ◽  
High Speed ◽  
High Speed Train

Learning Control of a High-Speed Cam Dynamic System in the Presence of Viscous Damping and Coulomb Friction Theory and Experiment

1998 ◽  
Author(s):  
Meng-Sang Chew ◽  
Theeraphong Wongratanaphisan ◽  
Yi-Chen Lu
Keyword(s):  
Dynamic System ◽  
Coulomb Friction ◽  
High Speed ◽  
Explicit Knowledge ◽  
Inverse Dynamics ◽  
Learning Control ◽  
Control Technique ◽  
Viscous Damping ◽  
Highly Nonlinear ◽  
Cam Follower

Abstract This paper introduces the application of learning control theory to the intelligent control of an electromechanical cam-follower system. Learning control has been shown to handle inverse kinematics and inverse dynamics problems very well. It is a technique that can be applied to systems that perform repetitive tasks in order to reduce the errors that occur between the actual output and the desired output. Here, learning control is applied to a dynamic system containing nonlinear kinematics elements such as a cam. The learning process is based on output errors alone. It does not require explicit knowledge of the physical system. The presence of viscous damping and Coulomb friction both simplifies and challenges the learning control technique in compensating for such highly nonlinear dissipative effects within the cam-follower system. Results are presented based on the simulations of the system as well as the experiment. This study shows that learning control is capable of compensating for nonlinear Coulomb friction, that frequency occurs in the joints of many real world mechanisms.

scholarly journals Analysis of Influencing Mechanism of Subgrade Frost Heave on Vehicle-Track Dynamic System

2020 ◽  
Vol 10 (22) ◽  
pp. 8097
Author(s):  
Liang Gao ◽  
Wenqiang Zhao ◽  
Bowen Hou ◽  
Yanglong Zhong
Keyword(s):  
Dynamic System ◽  
High Speed ◽  
Frost Heave ◽  
Leverage Effect ◽  
Cold Regions ◽  
Severe Problem ◽  
Slab Track ◽  
Influencing Mechanism ◽  
Track System ◽  
Track Irregularity

Uneven subgrade frost heave has been a severe problem for the operation of high-speed railways in cold regions. In order to reveal the influencing mechanism of frost heave on the vehicle-track system, a novel FEM (finite element method) model based on an explicit algorithm was proposed. In the novel model, the existence of the leverage effect in slab track, which was caused by frost heave, was realistically reproduced at first, and then the vehicle model started running for evaluating the influence of the frost heave on the whole dynamic system. Results show that the leverage effect plays a key role in analyzing the influence of frost heave on the vehicle-track system, besides for track irregularity and contact loss. Specifically, the leverage effect decreases the stability of the slab track and causes an increase in dynamic irregularity. The roles of the track irregularity and the contact loss in the influencing mechanism were also revealed. With the ratio of wavelength to amplitude increasing, the track irregularity is gradually dominant in the influence mechanism of frost heave on the vehicle-track system. The research could provide a reference for the management and maintenance of the slab track in cold regions.

Discussions about the Thermodynamic Entropy Property and its Existence in Vehicle Dynamics of Automobiles for Improving the Mileage

2015 ◽  
Vol 812 ◽  
pp. 118-123
Author(s):  
S. Arulanantha Samy ◽  
T. Shanmuganathan ◽  
J. Godwin John
Keyword(s):  
Kinetic Energy ◽  
Dynamic System ◽  
Formation Process ◽  
Vehicle Dynamics ◽  
High Speed ◽  
Good Property ◽  
Vehicle Dynamic ◽  
Energy Transformation ◽  
Accelerator Pedal ◽  
Vehicle Management

The recent vehicle management systems have been developing to improve the quality of the combustion process and transmission systems. In thermodynamic approach, the water molecule can exists in different phases like ice, water, wet steam, dry steam, and superheated steam. The phase change occurs in the steam formation process can be compared to the various stages of any vehicle dynamic system such starting, idling, normal speed, high speed and very high speed. There may be an identical value in the increment of energy level in both steam formation process and any vehicle dynamic system. Thermodynamic approach always deals with system, surroundings, boundary and energy transformation across boundaries. Entropy is a very good property which is used to find the energy degradation in a particular system, and this property existence in the vehicle dynamics of automobiles will be used to improve the efficiency of the control module of a vehicle management system. This paper initiates a new angle research in the field of vehicle dynamics to study and investigate the kinetic energy transformation and distance moved by the vehicle thermodynamically. From this paper, Entropy is found as a very good property for increasing the mileage of the vehicle. In the vehicle health monitoring, there should be an entropy measurement to reduce the unavailability of energy as it is the measure of the distance travelled by the vehicle per unit energy supplied to the same vehicle at various operating speeds. In manual transmission method, it has been found that driver is not able to press the accelerator pedal continuously due to body strain. Driver has to run the vehicle at constant speed by pressing the accelerator pedal continuously. In automatic transmission, the data required for the ECU module is given by the thermodynamic relations such as enthalpy, entropy and internal energy. This paper aims thermodynamically to describe the speed, acceleration, fuel consumption, kinetic energy and various resistances offered to the vehicles. Generally, Thermodynamic system deals with heat and mass transfer, likewise vehicle dynamics deals with work and vehicle’s motion.

An adjustable bearing seat stiffness element for targeted vibration influencing

2021 ◽  
Vol 263 (6) ◽  
pp. 757-766
Author(s):  
Carolin Sturm ◽  
Andreas Lindenmann ◽  
Thomas Gwosch ◽  
Sven Matthiesen
Keyword(s):  
Dynamic System ◽  
Dynamic Characteristics ◽  
High Speed ◽  
Design Space ◽  
Testing Machine ◽  
Technical System ◽  
System Behavior ◽  
Load Range ◽  
Theoretical Approaches ◽  
Universal Testing

In order to be able to influence the dynamic system behavior in a targeted manner, parameters such as stiffness in the technical system must be adjustable. In high-speed powertrains, the stiffness of the bearing seat, in particular, has an influence on the dynamic characteristics. As part of our research, we developed an adjustable bearing seat stiffness element. The focus of research was on an adjustable, scalable element with a small design space and the same properties over the perimeter. We characterized it statically with the help of a universal testing machine and dynamically using a shaker system. The results are compared with theoretical approaches. The results show that the stiffness is almost linearly adjustable in the load range of 0-100N. The results indicate that the developed element can be used to adjust desired stiffness and thus to influence vibrations in a targeted manner. The findings can be used in the design of high-speed powertrains e.g. in serial products or test benches.

THE FORECASTING OF STATE MULTI-DIMENSIONAL DYNAMIC SYSTEM BY COBB - DOUGLAS FUNCTION

2021 ◽  
Vol 53 (1) ◽  
pp. 54-62
Author(s):  
SERGEY N. MASAEV ◽  
Keyword(s):  
Dynamic System ◽  
Production System ◽  
High Speed ◽  
Factor Model ◽  
External Environment ◽  
The State ◽  
Regression Equation ◽  
Production Factors ◽  
Local Functions ◽  
Factors Of Production

The high speed of predicting the state of the research object by two factor mathematical models makes them in demand today. In the article, the forecasting accuracy is achieved by performing the task of identifying the research object. A two - factor Cobb - Douglas model for predicting the state of the production system is considered. A review of researches on the application of the two factorial Cobb - Douglas model showed that it is well known and widespread. In modern conditions, the change in the nature of the interaction of production factors under the influence of new factors reduces the accuracy of the forecast. The growth in the number of factors of production and the influence of the external environment make it difficult to use the Cobb - Douglas function. Changes in the relationship of factors of production form new local functions. It was found that in complex dynamic objects the importance of local functions changes. A change in the interaction of production factors depends on the influence of the external environment and determines the dynamics of the development of the system. An algorithm COBBA for calculating a two factor model of a production system is proposed. In the author's method and program, an algorithm is implemented and the values of the Cobb - Douglas production function are obtained. To assess the interaction of production factors in the research, a dynamic system is considered, which consists of eight enterprises. The classical calculation of the two factor model as a dynamic system through the regression equation is performed. Also we calculated three local functions that can be used in the Cobb - Douglas function for forecasting. The regression equation is used for operational (fast) forecasting by a dynamic system, taking into account changes in its dimension and the influence of environmental parameters. The specified forecast accuracy has been achieved.

scholarly journals The Artificial Intelligence and Design of Multibody Systems with Predicted Dynamic Behavior

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Dynamic System ◽  
High Speed ◽  
System Optimization ◽  
Multibody Dynamic ◽  
Applied Artificial Intelligence ◽  
Human Intellect ◽  
Intelligence Approach ◽  
Multibody Dynamic System ◽  
Artificial Intelligence Approach

The problem of complicated dynamic system optimization is very difficult for human intellect. The design of these systems comprises typical tasks of artificial intelligence – big data analysis, decision making, etc. In this article, we applied artificial intelligence approach to optimize the properties of the multibody dynamic system. It is very important to study the whole carrying system of a high-speed railroad in its integrity because the elements of the system interact and influence each other simultaneously. The system should include the train of several cars, the track upper structure, and the bridges. It is possible to synthesize the optimal system with predicted behavior that meets various constraints on dynamic parameters and interaction between the elements of the system.

Microfabrication research at the National Submicron Facility

1983 ◽  
Vol 41 ◽  
pp. 86-89
Author(s):  
E.D. Wolf
Keyword(s):  
Integrated Circuits ◽  
Particle Physics ◽  
High Speed ◽  
New Technology ◽  
High Energy ◽  
High Energy Particle ◽  
New Science ◽  
Wide Range ◽  
Intermediate Domain ◽  
Circuit Function

Most microelectronics devices and circuits operate faster, consume less power, execute more functions and cost less per circuit function when the feature-sizes internal to the devices and circuits are made smaller. This is part of the stimulus for the Very High-Speed Integrated Circuits (VHSIC) program. There is also a need for smaller, more sensitive sensors in a wide range of disciplines that includes electrochemistry, neurophysiology and ultra-high pressure solid state research. There is often fundamental new science (and sometimes new technology) to be revealed (and used) when a basic parameter such as size is extended to new dimensions, as is evident at the two extremes of smallness and largeness, high energy particle physics and cosmology, respectively. However, there is also a very important intermediate domain of size that spans from the diameter of a small cluster of atoms up to near one micrometer which may also have just as profound effects on society as “big” physics.

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