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fundamentals of engineering supplied-reference handbook - Ventech!

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Signal Conditioning<br />

Signal conditioning <strong>of</strong> the measured analog signal is <strong>of</strong>ten<br />

required to prevent alias frequencies and to reduce<br />

measurement errors. For information on these signal<br />

conditioning circuits, also known as filters, see the<br />

ELECTRICAL AND COMPUTER ENGINEERING<br />

section.<br />

MEASUREMENT UNCERTAINTY<br />

Suppose that a calculated result R depends on measurements<br />

whose values are x1 ± w1, x2 ± w2, x3 ± w3, etc., where R =<br />

f(x1, x2, x3, … xn), xi is the measured value, and wi is the<br />

uncertainty in that value. The uncertainty in R, wR, can be<br />

estimated using the Kline-McClintock equation:<br />

2<br />

2<br />

2<br />

1 2<br />

⎟<br />

1<br />

2<br />

⎟<br />

∂f<br />

⎞ ⎛ ∂f<br />

⎞ ⎛ ∂f<br />

⎞<br />

⎟ +<br />

⎜ w<br />

⎟ + + ⎜<br />

∂ ∂ ⎜<br />

wn<br />

x x<br />

∂xn<br />

⎛<br />

wR =<br />

⎜ w<br />

…<br />

⎝ ⎠ ⎝ ⎠<br />

CONTROL SYSTEMS<br />

The linear time-invariant transfer function model<br />

represented by the block diagram<br />

X(s)<br />

can be expressed as the ratio <strong>of</strong> two polynomials in the form<br />

Y<br />

X<br />

() s<br />

() s<br />

() s<br />

() s<br />

M<br />

∏<br />

N<br />

= G()<br />

s = = K N<br />

D<br />

m=<br />

1<br />

∏<br />

n=<br />

1<br />

⎝<br />

( s − z )<br />

m<br />

( s − p )<br />

where the M zeros, zm, and the N poles, pn, are the roots <strong>of</strong><br />

the numerator polynomial, N(s), and the denominator<br />

polynomial, D(s), respectively.<br />

One classical negative feedback control system model block<br />

diagram is<br />

where G1(s) is a controller or compensator, G2(s) represents<br />

a plant model, and H(s) represents the measurement<br />

dynamics. Y(s) represents the controlled variable, R(s)<br />

represents the <strong>reference</strong> input, and L(s) represents a load<br />

disturbance. Y(s) is related to R(s) and L(s) by<br />

G1<br />

()<br />

() s G2()<br />

s<br />

Y s =<br />

R()<br />

s<br />

1+<br />

G s G s H s<br />

1<br />

+<br />

1+<br />

G(s)<br />

() 2()<br />

()<br />

G2()<br />

s<br />

G () s G () s H () s<br />

1<br />

2<br />

Y(s)<br />

L<br />

() s<br />

n<br />

⎠<br />

Y<br />

88<br />

MEASUREMENT AND CONTROLS (continued)<br />

G1(s) G2(s) H(s) is the open-loop transfer function. The<br />

closed-loop characteristic equation is<br />

1 + G1(s) G2(s) H(s) = 0<br />

System performance studies normally include:<br />

1. Steady-state analysis using constant inputs is based on<br />

the Final Value Theorem. If all poles <strong>of</strong> a G(s) function<br />

have negative real parts, then<br />

Steady State Gain = limG() s<br />

s→0<br />

Note that G(s) could refer to either an open-loop or a closedloop<br />

transfer function.<br />

For the unity feedback control system model<br />

with the open-loop transfer function defined by<br />

G<br />

() s<br />

K<br />

=<br />

s<br />

B<br />

T<br />

M<br />

( 1+<br />

s )<br />

∏ ω<br />

m=<br />

1 × N<br />

∏ ω<br />

n=<br />

1<br />

m<br />

( 1+<br />

s )<br />

The following steady-state error analysis table can be<br />

constructed where T denotes the type <strong>of</strong> system; i.e., type 0,<br />

type 1, etc.<br />

Steady-State Error ess<br />

Input Type T = 0 T = 1 T = 2<br />

Unit Step 1/(KB + 1) 0 0<br />

Ramp ∞ 1/KB 0<br />

Acceleration ∞ ∞ 1/KB<br />

2. Frequency response evaluations to determine dynamic<br />

performance and stability. For example, relative<br />

stability can be quantified in terms <strong>of</strong><br />

a. Gain margin (GM) which is the additional gain<br />

required to produce instability in the unity gain<br />

feedback control system. If at ω = ω180,<br />

∠ G(jω180) = –180°; then<br />

GM = –20log10 (⏐G(jω180)⏐)<br />

b. Phase margin (PM) which is the additional phase<br />

required to produce instability. Thus,<br />

PM = 180° + ∠ G(jω0dB)<br />

where ω0dB is the ω that satisfies ⏐G(jω)⏐ = 1.<br />

n<br />

Y

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