Modelling and analysis of all terrain vehicle (ATV) using system identification for yaw stability

This paper presents the modelling and analysis of path-following planning motion of an All-Terrain Vehicle (ATV) using system identification technique in term of yaw stability. The modelling is based on the single track and established by using Newtonian equation motion. Mathematical modelling is constructed in form of state space equation with the parameters used are measured through physical measurement of prototype ATV. Based on this model selection, the open loop system is simulated and the result will be validated by using system identification. Inertial Measurement Unit (IMU) sensor is used to collect and measure the data for the path following planning. The analysis results for yaw stability of prototype ATV are validated by system identification method with step response approach. Both of the simulated and measured data is compared and the data is estimated to get the best fit for yaw estimation by using complimentary filter technique. From the result, the best fit for yaw estimation is 91.96% and considered as stabilized at steering angle of 45°

Modelling and Analysis of All Terrain Vehicle (ATV) using System Identification for Yaw Stability

This paper presents the modelling and analysis of path-following planning motion of an All-Terrain Vehicle (ATV) using system identification technique in term of yaw stability. The modelling is based on the single track and established by using Newtonian equation motion. Mathematical modelling is constructed in form of state space equation with the parameters used are measured through physical measurement of prototype ATV. Based on this model selection, the open loop system is simulated and the result will be validated by using system identification. Inertial Measurement Unit (IMU) sensor is used to collect and measure the data for the path-following planning. The analysis results for yaw stability of prototype ATV are validated by system identification method with step response approach. Both of the simulated and measured data is compared and the data is estimated to get the best fit for yaw estimation by using complimentary filter technique. From the result, the best fit for yaw estimation is 91.96% and considered as stabilized at steering angle 450

Gender and Age-Related Differences in Patients with the Metabolic Syndrome in A Highly Endogamous Population.

The objective of the study was to examine the differences in gender and age prevalences of metabolic syndrome (MetS) among adult Qatari population according to the revised criteria of NCEP ATP III and IDF, assess which component contributed to the higher prevalence of the MetS and identify the characteristics of the subjects with MetS. The study was designed as a cross-sectional study. The survey was carried out in urban and semi-urban primary health care centers. The survey was conducted in the period from January 2007 to July 2008 among Qatari nationals above 20 years of age. Of the 1536 subjects who were approached to particípate in the study, 1222 (79.6%) gave their consent. Face to face interviews were conducted using a structured questionnaire followed by laboratory tests. MetS was defined using the National Cholesterol Education Program - Third Adult Treatment Panel (ATP III) as well as the International Diabetes Federation (IDF). The overall prevalence of MetS in studied subjects was 26.7% and 33.9% according to ATPIII and IDF (p<0.001) criteria respectively. The prevalence of MetS by both definitions peaked in the 30-39 years age group among males, and the 40-49 years age group among females. The greatest number of males with MetS were university educated; while the greatest number of females with MetS were either illiterate or had a primary school education. The prevalence of MetS was higher among females. Among the components of MetS, the prevalence of central obesity was significantly higher in studied subjects. The overall prevalence of MetS and its components according to IDF criteria was higher in studied subjects than the estimates given by the ATPIII criteria. Overall, the prevalence of the metabolic syndrome in the State of Qatar is about 10-15% higher than in most developed countries, with generally higher prevalence rates for women. Preventive strategies will require identifying socio-demographic factors and addressing modifiable risk behaviours, including lack of physical activity, and dietary intake