logo

Race Vehicle Testing

The assignment involves testing a 2006 Ford Fiesta ST on different terrains and collecting data using various sensors and instrumentation. The report should include an explanation of the testing equipment, data processing, and data interpretation.

18 Pages4122 Words260 Views
   

Added on  2023-04-21

About This Document

This document discusses race vehicle testing and analysis, including sensors and instrumentation, different sensors and their features, steering wheel angle calibration, yaw angle calculation, Kalman filter design, path curvature calculation, and comparison of maximum speed and actual speed. The document provides explanations, MATLAB code, and plots for each topic.

Race Vehicle Testing

The assignment involves testing a 2006 Ford Fiesta ST on different terrains and collecting data using various sensors and instrumentation. The report should include an explanation of the testing equipment, data processing, and data interpretation.

   Added on 2023-04-21

ShareRelated Documents
Race vehicle testing
Race Vehicle Testing_1
Table of Contents
Introduction.........................................................................................................................................3
Description...........................................................................................................................................3
Question 1:...........................................................................................................................................3
Sensors and instrumentation background and implementation..................................................3
Question 2:...........................................................................................................................................4
Different Sensors and its features...................................................................................................4
Question 3:...........................................................................................................................................5
Steering wheel angle........................................................................................................................5
Question 4:...........................................................................................................................................6
Yaw angle.........................................................................................................................................6
Question 5:...........................................................................................................................................7
Kalman filter design........................................................................................................................7
Question 6:...........................................................................................................................................8
Path Curvature................................................................................................................................8
Question 7:...........................................................................................................................................9
Comparison of maximum speed and actual speed........................................................................9
Question 8:.........................................................................................................................................10
Driver input and vehicle response................................................................................................10
Conclusion:........................................................................................................................................12
Appendix............................................................................................................................................13
Outputs...........................................................................................................................................13
Race Vehicle Testing_2
Introduction
A sensor is a device which detects and respond to the information received. It
measures on various parameters like property, colour, frequency etc. The sensor
has the capability of converting an input signal (stimulus) into a measured
signal. The input signal or stimulus is mechanical, thermal, electromagnetic,
acoustic or chemical in nature. Whereas the measured signal is electrical in
nature. The essential component of engineering devices are sensors. It is based
on a wide range of physical principles.
Description
The description of the project is to analyse different parameters for a race car.
The testing assessment is mainly based on steering angle, yaw angle, path
curvature, speed of a car for different values of acceleration. The filter is also
used in analysis when there is any disturbance occurs during the drive.
Question 1:
Sensors and instrumentation background and implementation
Answer:
The sensors in the instrument or in the device can be communicated in a real-
time application through graphical instrument panels. MATLAB makes a
feature of its professional toolboxes which function is powerful. The Real time
system monitoring is a challenging task for every analysis. It is therefore a
multidisciplinary application. The data is downloaded from FTP server. And
then it is decoded to specified format. Then the report is fed into different
Database and presentation purposes. These data are used in real time
applications. The application of sensor in Matlab can be implemented either
through Matlab / Simlink or through Matlab toolbox i,e GUI (Graphical User
Interface). MATLAB Tool were used to download data from FTP server and
decode ASCII character in to hex and decimal form for further analysis. The
sensor implementation is explained through nodes which can be detected by
sensor only in a definite path.
Race Vehicle Testing_3
Question 2:
Different Sensors and its features
Explain and report on the various commercially available unit of different
sensors and DAQ devices, principles of operation, features, properties, and
problems.
Different sensors are classified as
The performance of sensor is studied based on the characteristics, reliability
and robustness in a quantitative manner. The sensor characteristics include
range, resolution, sensing frequency, accuracy, size, reliability, operating
temperature, drift and cost.
a) Displacement Sensors: The performance is analysed between
(i) Sensing range and resolution. As the resolution increases the
sensing range also increases.
(ii) Sensing range and sensing frequency. The sensing frequency of
the displacement sensors depends on the noise levels exhibited by
measuring electronic circuits.
(iii)Linear Velocity Sensors: The common type of velocity sensor are
electromagnetic, piezoelectric and cable extension. The principle of
magnetic induction is used for electromagnetic velocity. This velocity is
integrated with a permanent magnet and a fixed geometry coil.
Piezoelectric accelerometers with an internal integration circuit which
produces a velocity signal is used for Piezo-velocity transducers. A
multi-turn potentiometer and a tachometer is integrated in cable
extension based which is used to measure the rotary position and
rotating speed that has a cable wound onto it.
Temperature
Sensors
Force
Sensors
Accelerometers
Linear Velocity
Sensors
Displacement
Sensors
Sensors
Race Vehicle Testing_4

End of preview

Want to access all the pages? Upload your documents or become a member.