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Thesis - Leigh Moody.pdf - Bad Request - Cranfield University

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Chapter 3 / Sensors<br />

_ _<br />

verification. The graphical nature of this tool is ideal for illustrating sensor<br />

descriptions, and to provide intermediate results showing the operation of<br />

sub-models. The models are stored in the MATLAB script file SENSORS.M<br />

and their default data in SENDAT.M. Once the default data has been loaded<br />

from the MATLAB Command Window the sensors are presented as seen in<br />

Figure 3-3.<br />

GYROSCOPES<br />

ACCELEROMETERS<br />

RADAR<br />

SEEKER<br />

3.2-12<br />

RADALT<br />

HMS<br />

BAROMETER<br />

GPS<br />

FINS<br />

AIR DATA<br />

Figure 3-3 : SIMULINK Generic Sensor Model Library<br />

Figure 3-4 shows the generic form of a SIMULINK sensor model that is<br />

conceptually the same as that in the simulation and decomposes into the<br />

basic sensor and its output interface. The measurement SM_O and the<br />

sensor error superimposed on the reference input SN_E are available for<br />

analysis in the MATLAB Command Window.<br />

REFERENCE<br />

INPUT<br />

GUI<br />

SENSOR<br />

MODEL<br />

SENSOR<br />

OUTPUT I/F<br />

SM_O<br />

SN_E<br />

Figure 3-4 : SIMULINK Generic Sensor Model<br />

The error model data may be configured using the Graphical User Interface<br />

(GUI). Sensor limitations preventing measurement output are not modelled<br />

in SIMULINK.<br />

Double clicking the GUI icon using the left mouse button drops down a<br />

menu similar to the one shown in Figure 3-5. Clicking on “select options”<br />

activates that part of the sensor error model. To view the parameters<br />

associated with an error model click on the “edit parameters” button and a<br />

drop down menu similar to the one in Figure 3-6 for ADC quantisation<br />

appears, into which new values can inserted. When finished clicking on the<br />

“OK” buttons loads the new data and collapses the window.

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