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

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Chapter 3 / Sensors<br />

_ _<br />

A model of this error currently fixed at 3 bits of quantised noise is shown in<br />

Figure 3-17 and its output in Figure 3-18.<br />

QUANTISED NOISE ( LSB )<br />

8<br />

6<br />

4<br />

2<br />

0<br />

-2<br />

-4<br />

-6<br />

-8<br />

0 200 400 600 800 1000<br />

TIMESTEPS ( MSEC )<br />

Figure 3-18 : ADC 3 Bit Random Noise<br />

If this error is present on measurements used in a state observer based on<br />

Kalman filtering principles it can have a destabilising effect unless<br />

compensated for, since it is not Gaussian in nature.<br />

3.2.2.4 Sensor Output Interface<br />

In the simulation each sensor measurement passes through module IF_1553<br />

described in §22.7.13. This superimposes the following digital interface<br />

(I/F) transmission errors:<br />

• I/F range quantisation ( bit 27 )<br />

• I/F range limiting without 2s compliment wrapping ( bit 28 )<br />

• I/F range limit with 2s compliment wrapping ( bit 29 )<br />

• I/F time delay based on complete output intervals ( bit 30 )<br />

The error control word is applied at sensor level hence the errors invoked<br />

are applied to all the measurements from a sensor. The equivalent<br />

MATLAB model is shown in Figure 3-19 in which the low frequency<br />

update ZOH is evident to the sensor measurement output rate.<br />

SM_I<br />

1<br />

OUTPUT<br />

ZOH<br />

RANGE<br />

LIMIT<br />

3.2-26<br />

RANGE<br />

WRAP<br />

I/F<br />

QUANT<br />

I/F<br />

DELAY<br />

Figure 3-19 : Sensor Output Interface<br />

SM_O<br />

1

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