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

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Chapter 3 / Sensors<br />

_ _<br />

Expressed in the frequency domain used in Figure 3-8 (rate limit omitted)<br />

and in functional form,<br />

y<br />

( s )<br />

: =<br />

3.2-18<br />

( − t ⋅ s )<br />

2<br />

2<br />

( s + ω ) ⋅ ( s + 2 ⋅ ζ ⋅ ω + ω )<br />

SN<br />

2<br />

SN ωD1L<br />

⋅ SNωD<br />

2L<br />

⋅ exp SN TD<br />

⋅<br />

D1L<br />

In the functional form this becomes,<br />

SN<br />

SN<br />

DL2<br />

SN<br />

DL2<br />

( x ( t ) ) : = ϕ ( ϕ ( ϕ ( ϕ ( x ( t ) ) ) ) )<br />

y D2L<br />

D1L<br />

RL TD<br />

x<br />

( s )<br />

Equation 3.2-3<br />

Equation 3.2-4<br />

In the simulation the sensor time delays are gathered together, excluding the<br />

transport delay due to the output interface, and modelled to an accuracy<br />

commensurate with the high frequency update rate (fR). When undertaking<br />

linear systems analysis the exponential function is replaced by 1 st or 2 nd<br />

order Pade approximations with unity gain,<br />

ROR (DEGREES)<br />

y<br />

⎛ 2 ⋅<br />

⎜<br />

⎝ 2 ⋅<br />

SN O<br />

( s ) : = ⎜<br />

⎟ ⋅ x ( s )<br />

⎛<br />

SN<br />

f<br />

f<br />

O<br />

− s ⎞<br />

+ s ⎟<br />

⎠<br />

2<br />

2<br />

12 ⋅ f − 6 ⋅ f ⋅ s + s<br />

y<br />

⎜<br />

2<br />

2<br />

12 ⋅ SNf<br />

O + 6 ⋅ SNf<br />

O ⋅ s + s<br />

SN O SN O<br />

( s ) : = ⎜<br />

⎟ ⋅ x ( s )<br />

10<br />

9<br />

8<br />

7<br />

6<br />

5<br />

⎝<br />

Figure 3-9 : Time Delay Phase Error<br />

( 1 st order – solid ; 2 nd order – dashed )<br />

⎞<br />

⎟<br />

⎠<br />

Equation 3.2-5<br />

Equation 3.2-6

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