scholarly journals Gust Wind Effects on Stability and Ride Quality of Actively Controlled Maglev Guideway Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-23 ◽  
Author(s):  
Dong-Ju Min ◽  
Soon-Duck Kwon ◽  
Jong-Won Kwark ◽  
Moon-Young Kim
Keyword(s):  
Wind Speed ◽  
Magnetic Levitation ◽  
Influential Factor ◽  
Dynamic Responses ◽  
Dominant Factor ◽  
Ride Quality ◽  
Vehicle Speed ◽  
Running Safety ◽  
Maglev Vehicle

The purpose of this paper is to present a framework to analyze the interaction between an actively controlled magnetic levitation vehicle and a guideway structure under gusty wind. The equation of motion is presented for a 30-dof maglev vehicle model consisting of one cabin and four bogies. In addition, a lateral electromagnetic suspension (EMS) system is introduced to improve the running safety and ride quality of the maglev vehicle subjected to turbulent crosswind. By using the developed simulation tools, the effects of various parameters on the dynamic response of the vehicle and guideway are investigated in the case of the UTM maglev vehicle running on a simply supported guideway and cable-stayed guideway. The simulation results show that the independent lateral EMS and associated control scheme are definitely helpful in improving the running safety and ride quality of the vehicle under gusty wind. In the case of the cable-stayed guideway, at low wind speed, vehicle speed is the dominant factor influencing the dynamic responses of the maglev vehicle and the guideway, but at wind speed over 10 m/s, wind becomes the dominant factor. For the ride quality of the maglev vehicle, wind is also the most influential factor.

scholarly journals Dynamic Characteristics in the Design of Maglev Suspensions

1994 ◽  
Vol 208 (1) ◽  
pp. 33-41 ◽  
Author(s):  
R Goodall
Keyword(s):  
Dynamic Characteristics ◽  
Transfer Functions ◽  
Controller Design ◽  
Design Method ◽  
Vehicle Speed ◽  
Passenger Comfort ◽  
Operational Conditions ◽  
Second Stage ◽  
Maglev Vehicle

The paper reviews the essential functions which apply to any kind of suspension, and distinguishes between the various inputs to which a suspension is subjected. These are used to assess the particular characteristics of an electromagnetically suspended (Maglev) vehicle, and to identify considerations which have important implications for the controller design, irrespective of the design method. Some general equations are developed which interrelate the vehicle speed, the quality of the track and the passenger comfort requirements, and these are used to identify operational conditions for which a second stage of suspension becomes necessary (that is, in addition to that provided by the magnets). The importance of understanding the suspension's response to deterministic track inputs is also highlighted. Although the paper is directed towards Maglev, the analysis is strongly based upon a consideration of the suspension transfer functions, and so many of the principles are applicable to actively controlled supensions in general.

Suspension Bounce Response of Canadian MAGLEV Vehicle Under Guideway Excitations—Part I: Deterministic Analysis

1983 ◽  
Vol 105 (1) ◽  
pp. 104-111
Author(s):  
M. Kotb ◽  
T. S. Sankar ◽  
M. Samaha
Keyword(s):  
Mathematical Model ◽  
High Speed ◽  
Equations Of Motion ◽  
Vehicle Body ◽  
Ride Quality ◽  
Numerical Techniques ◽  
Deterministic Analysis ◽  
Maglev Vehicle ◽  
Main Emphasis

The dynamic bounce response of the Canadian designed high speed magnetically levitated vehicle is investigated when subjected to purely periodic excitations from the guideways. The equations of motion of the system are derived, on the basis of a realistic linear mathematical model, using d’Alembert’s principle of force and moment analysis. Solutions for the system responses in the time and frequency domain are obtained using numerical techniques. Although the main emphasis of this study is focused on the bounce response of the vehicle body as a measure of the ride quality of the vehicle, the vehicle pitching response as well as the bounce responses of the levitation magnets are also given appropriate attention.

scholarly journals Vehicle Ride Comfort Analysis Based on Vehicle-Bridge Coupled Vibration

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yichang Zhang ◽  
Wusheng Li ◽  
Zhe Ji ◽  
Guichun Wang
Keyword(s):  
Rational Design ◽  
Ride Comfort ◽  
Dynamic Balance ◽  
Dynamic Responses ◽  
Ride Quality ◽  
Vehicle Speed ◽  
Coupled Vibration ◽  
Coupling Vibration ◽  
Multiple Vehicles ◽  
Vibration Responses

The study in this paper aims to evaluate the effects of vehicle-bridge coupled vibration on the vehicle ride comfort. The mechanical model of both vehicle and bridge subsystems and the vibration differential equations are established, respectively, based on the principle of dynamic balance and finite element method. The APDL command stream for iterative calculation is compiled on the ANSYS platform. The method to evaluate the vehicle ride comfort is established according to the criteria in ISO2631-1-1997. The vehicle dynamic responses and ride comfort are analyzed considering different pavement levels while multiple vehicles pass through the cable-stayed bridge. The analysis results indicate that the dynamic responses of vehicles decrease with the improvement of pavement roughness, resulting in the vehicle ride comfort to be better; the dynamic responses of vehicles increase with the increment of vehicle speed or the decrement of vehicle gravity, resulting in the vehicle ride comfort to be worse. The present research results can provide an insight into the rational design of bridge structure so as to reduce the vehicle-bridge coupling vibration responses and improve the ride quality of drivers and passengers.

A numerical model to predict three-dimensional interaction dynamic of low-medium-speed maglev vehicle–guideway bridge system

2021 ◽  
pp. 095440972199655
Author(s):  
Fenghua Huang ◽  
Bin Cheng ◽  
Nianguan Teng
Keyword(s):  
Numerical Model ◽  
Dynamic Responses ◽  
Vehicle Speed ◽  
3D Interaction ◽  
Frequency Responses ◽  
Maglev Vehicle ◽  
Coupling System ◽  
Medium Speed ◽  
Vibration Responses ◽  
Bridge System

This paper established a numerical model to investigate the dynamic behavior of LMS (low-medium-speed) maglev vehicle-guideway bridge coupling system. In this model, the vehicle was simulated as a 3D (3-dimensional) multi-rigid body with 45 DOFs (degree of freedoms), and the guideway bridge was built through finite element method. Two-dimensional magnet-guideway relationship was introduced, and the control strategies of active suspension control based on PID controller and passive guidance control were employed to reflect the vehicle-guideway interaction. A solution program was then developed to solve the vehicle-guideway interaction problem. Through case study, the vibration responses achieved from 3D interaction model were compared to those from corresponding 2D (2-dimensional) model. Besides, the effects of pier and guideway irregularity on dynamic responses of vehicle-guideway bridge coupling system were investigated, and the frequency responses of vehicle and guideway were also analyzed. The result shows that ignoring the pier modeling or guideway irregularity would significantly undervalue the vibration responses of maglev vehicle-guideway bridge interaction system. The frequency responses indicate that the vibrations of vehicle-guideway bridge system are significantly related to the geometric dimensions of maglev vehicle, especially the distance between two magnet units. Finally, parametric study was carried out to determine the effects of key parameters (i.e., vehicle speed and natural frequency of guideway) on guideway responses.

Prediction of ride quality of a Maglev vehicle using a full vehicle multi-body dynamic model

2009 ◽  
Vol 47 (10) ◽  
pp. 1271-1286 ◽  
Author(s):  
H. S. Han ◽  
B. H. Yim ◽  
N. J. Lee ◽  
Y. J. Kim
Keyword(s):  
Dynamic Model ◽  
Ride Quality ◽  
Full Vehicle ◽  
Maglev Vehicle ◽  
Multi Body ◽  
Body Dynamic

An Efficient Hybrid Forecasting Approach for Wind Speed Time Series

2017 ◽  
Vol 7 (9) ◽  
pp. 13
Author(s):  
Bhargavi Munnaluri ◽  
K. Ganesh Reddy
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Wind Speed ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Support Vector ◽  
Hybrid Forecasting ◽  
Artificial Neural ◽  
Future Utilization

Wind forecasting is one of the best efficient ways to deal with the challenges of wind power generation. Due to the depletion of fossil fuels renewable energy sources plays a major role for the generation of power. For future management and for future utilization of power, we need to predict the wind speed.  In this paper, an efficient hybrid forecasting approach with the combination of Support Vector Machine (SVM) and Artificial Neural Networks(ANN) are proposed to improve the quality of prediction of wind speed. Due to the different parameters of wind, it is difficult to find the accurate prediction value of the wind speed. The proposed hybrid model of forecasting is examined by taking the hourly wind speed of past years data by reducing the prediction error with the help of Mean Square Error by 0.019. The result obtained from the Artificial Neural Networks improves the forecasting quality.

THE FACTORS THAT CAUSE THE LOSE OF ABILITY IN USING SUNDANESE OF ENGLISH LITERATURE STUDENTS IN UNIVERSITAS GUNADARMA

2018 ◽  
Vol 6 (1) ◽  
pp. 1-9
Author(s):  
Pradheka Aria Rangga
Keyword(s):  
Qualitative Method ◽  
Heritage Language ◽  
Social Economic ◽  
English Literature ◽  
Language Shift ◽  
Influential Factor ◽  
Demographic Factor ◽  
Dominant Factor ◽  
Political Factor ◽  
Data Source

In sociolinguistics, there is a phenomenon in which a community stops using their parent’s heritage language by making the use of the language in which they are located or stay as a mean of communication, it is called as a language shift. In this research, it aims to find out the factors that affected the students whose parents originated from Sunda not interested to learn their parent’s heritage language. Moreover, it aims to find out the most dominant factor that affected the students not interested to learn their parent’s heritage language. This research used the qualitative method and the data source comes from the students of English literature in Universitas Gunadarma. The result of this research shows the factors that affected the students not interested to learn their parent’s heritage language such as social, economic, and political factor, demographic factor, attitudes and values factors, education factor, migration factor, and bilingual or multilingual factors. Furthermore, education factor is assumed as the most dominant or influential factor to the students not interested to learn their parent’s heritage language, because all of the students choose agree to the education factor.

The Emergence of Service Quality and Brand Awareness Toward Strategic Competitiveness and Its Impact on Hotel Performance

2015 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Khairunnisa Khairunnisa ◽  
Nila Krisnawati
Keyword(s):  
Service Quality ◽  
Slow Growth ◽  
Group Discussion ◽  
Influential Factor ◽  
Brand Awareness ◽  
Quantitative And Qualitative Research ◽  
Hotel Performance ◽  
Depth Interview ◽  
Front Office

Five-star hotels are known by their immense competitiveness, first-class portrayal and are superior in level of extravagance, eccentricity, representation, sophistication and amenities. Slow growth of five-star hotels aggravates strong competition, thus forcing hotel businesses to be competitive. This study attempts to analyze service quality and brand awareness toward strategic competitiveness and its impact on the performance of XYZ Hotel. The study applies both quantitative and qualitative research, which were obtained from questionnaire distribution to 100 respondents who have stayed at the hotel, in-depth interview with the PR and Front Office managers, and Focus Group Discussion with managers and hotel experts from Jakarta and Tangerang. The finding suggests that service quality has no correlation with strategic competitiveness and no significant impact on performance. Thus, brand awareness was found to be the most influential factor on strategic competitiveness. However, it is necessitated that five-star hotel continuously improve the quality of its service and the factors associated with service quality. 

scholarly journals Lane Departure Warning Estimation Using Yaw Acceleration

2020 ◽  
Vol 11 (1) ◽  
pp. 102-111
Author(s):  
Em Poh Ping ◽  
J. Hossen ◽  
Wong Eng Kiong
Keyword(s):  
Vehicle Dynamics ◽  
Dynamic Responses ◽  
Dynamics Simulation ◽  
Steering Wheel ◽  
Mathematical Representation ◽  
Vehicle Speed ◽  
Lane Departure Warning ◽  
Model Based ◽  
Lane Departure ◽  
Proposed Model

AbstractLane departure collisions have contributed to the traffic accidents that cause millions of injuries and tens of thousands of casualties per year worldwide. Due to vision-based lane departure warning limitation from environmental conditions that affecting system performance, a model-based vehicle dynamics framework is proposed for estimating the lane departure event by using vehicle dynamics responses. The model-based vehicle dynamics framework mainly consists of a mathematical representation of 9-degree of freedom system, which permitted to pitch, roll, and yaw as well as to move in lateral and longitudinal directions with each tire allowed to rotate on its axle axis. The proposed model-based vehicle dynamics framework is created with a ride model, Calspan tire model, handling model, slip angle, and longitudinal slip subsystems. The vehicle speed and steering wheel angle datasets are used as the input in vehicle dynamics simulation for predicting lane departure event. Among the simulated vehicle dynamic responses, the yaw acceleration response is observed to provide earlier insight in predicting the future lane departure event compared to other vehicle dynamics responses. The proposed model-based vehicle dynamics framework had shown the effectiveness in estimating lane departure using steering wheel angle and vehicle speed inputs.

scholarly journals How Good Is the STW Sensor? An Account from a Larger Shipping Company

2021 ◽  
Vol 9 (5) ◽  
pp. 465
Author(s):  
Angelos Ikonomakis ◽  
Ulrik Dam Nielsen ◽  
Klaus Kähler Holst ◽  
Jesper Dietz ◽  
Roberto Galeazzi
Keyword(s):  
High Frequency ◽  
Additional Data ◽  
Empirical Method ◽  
Influential Factor ◽  
Sensor Data ◽  
Sea State ◽  
Shipping Company ◽  
Frequency Sensor ◽  
Semi Empirical

This paper examines the statistical properties and the quality of the speed through water (STW) measurement based on data extracted from almost 200 container ships of Maersk Line’s fleet for 3 years of operation. The analysis uses high-frequency sensor data along with additional data sources derived from external providers. The interest of the study has its background in the accuracy of STW measurement as the most important parameter in the assessment of a ship’s performance analysis. The paper contains a thorough analysis of the measurements assumed to be related with the STW error, along with a descriptive decomposition of the main variables by sea region including sea state, vessel class, vessel IMO number and manufacturer of the speed-log installed in each ship. The paper suggests a semi-empirical method using a threshold to identify potential error in a ship’s STW measurement. The study revealed that the sea region is the most influential factor for the STW accuracy and that 26% of the ships of the dataset’s fleet warrant further investigation.

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