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Signals and Systems Fall 2003 Lecture #20 20 November 2003

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Signals and Systems Fall 2003 Lecture #20 20 November 2003. 1. Feedback Systems 2. Applications of Feedback Systems. A Typical Feedback System. Why use Feedback? Reducing Effects of Nonidealities Reducing Sensitivity to Uncertainties and Variability Stabilizing Unstable Systems - PowerPoint PPT Presentation
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Signals and Systems Fall 2003 Lecture #20 20 November 2003 1. Feedback Systems 2. Applications of Feedback Systems
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Page 1: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Signals and SystemsFall 2003

Lecture #2020 November 2003

1. Feedback Systems

2. Applications of Feedback Systems

Page 2: Signals and Systems Fall 2003 Lecture #20 20 November 2003

A Typical Feedback System

Why use Feedback?

1. Reducing Effects of Nonidealities2. Reducing Sensitivity to Uncertainties and Variability3. Stabilizing Unstable Systems4. Reducing Effects of Disturbances5. Tracking6. Shaping System Response Characteristics (bandwidth/speed)

Page 3: Signals and Systems Fall 2003 Lecture #20 20 November 2003

One Motivating Example

Open-Loop System Closed-Loop Feedback System

Page 4: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Analysis of (Causal!) LTI Feedback Systems: Black’s Formula

CT System

)()(1

)(

)(

)()(

sHsG

sH

sX

sYsQ

Black’s formula (1920’s)

Closed - loop system function

Forward gain — total gain along the forward path from the input to the outputLoop gain — total gain around the closed loop

gain loop-1

gain forward

Page 5: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Applications of Black’s FormulaExample

:

BCA

BA

sX

sY

'1

'

gain loop1

gain Forward

)(

)(

1)

2)

ABCA

BA

sX

sY

A

AA

1

'

)(

)(

1'

ABCA

AB

BCA

B

sD

sY

1

)1(

'1gain loop1

gain Forward

)(

)(

Page 6: Signals and Systems Fall 2003 Lecture #20 20 November 2003

The Use of Feedback to Compensate for Nonidealities

Assume KP(jω) is very large over the frequency range of interest. In fact, assume

)(

1

)()(1

)(

)(

)()(

jGjGjKP

jKP

jX

jYjQ

— Independent of P(s)!!

1|)()(| jGjKP

Page 7: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Example of Reduced Sensitivity

1)The use of operational amplifiers2)Decreasing amplifier gain sensitivity

Example:(a) Suppose

(b) Suppose

10)099.0)(1000(1

1000

0.099) , 1000)(

1

11

)Q(j

G(jωjKP

)changegain %1( 9.9)099.0)(500(1

500)(

)changegain %50(

099.0)( , 500)(

2

22

jQ

jGjKP

Page 8: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Fine, but why doesn’t G(jω) fluctuate ?

Note:

For amplification, G(jω) must attenuate, and it is much easier to build attenuators (e.g. resistors) with desired characteristics

There is a price:

Needs a large loop gain to produce a steady (and linear) gain for the whole system.⇒ Consequence of the negative (degenerative) feedback.

)(

1)(

jGjQ

|)(|

1|)(|1|)(|

jGjKPjKPG

Page 9: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Example: Operational Amplifiers

If the amplitude of the loop gain

|KG(s)| >> 1 — usually the case, unless the battery is totally dead.

The closed-loop gain only depends on the passive components(R1 & R2), independent of the gain of the open-loop amplifier K.

Then Steady State 1

21

)(

1

)(

)(

R

RR

sGsX

sY

Page 10: Signals and Systems Fall 2003 Lecture #20 20 November 2003

The Same Idea Works for the Compensation for Nonlinearities

Example and Demo:Amplifier with a Deadzone

The second system in the forward path has a nonlinear input-output relation (a deadzone for small input), which will cause distortion if it is used as an amplifier. However, as long as the amplitude of the “loop gain” is large enough, the input-output response ≅ 1/K2

Page 11: Signals and Systems Fall 2003 Lecture #20 20 November 2003

───Much broader bandwidth, also

Improving the Dynamics of Systems

Example: Operational Amplifier 741The open-loop gain has a very large value at dc but very limited bandwidth

Not very useful on its own40

10)(

7

ssH

)(1040

10

)()(1

)()(

7

7

sGssHsG

sHsQ

GQ /1)0(

With feedback

Page 12: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Stabilization of Unstable Systems

P(s) — unstable Design C(s), G(s) so that the closed-loop system

is stable⇒ poles of Q(s) = roots of 1+C(s)P(s)G(s) in LHP

)()()(1

)()()(

sGsPsC

sPsCsQ

Page 13: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Try : proportional feedback

Example #1: First-order unstable systems

1)(2

1)(

sGs

sP

KsC )(

Ks

K

s

Ks

K

sQ

2

21

2)(

Stable as long as K>2

Page 14: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Example #2: Second-order unstable systems

— Unstable for all values of K

— Physically, need damping — a term proportional to s ⇔ d/dt

1)(2

1)(

2

sGs

sP

Attempt #1: Proportional Feedback C(s)=K

Ks

K

s

Ks

K

sQ

2

21

2)(2

2

2

Page 15: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Example #2 (continued):

Attempt #2: Try Proportional-Plus-Derivative (PD) Feedback

— Stable as long as K2 > 0 (sufficient damping)and K1 > 4 (sufficient gain).

sKKsC 21)(

)4(

41

4 )(

122

21

221

221

KsKs

sKKs

sKKs

sKK

sQ

Page 16: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Example #2 (one more time):

Why didn’t we stabilize by canceling the unstable poles?

There are at least two reasons why this is a really bad idea:

a) In real physical systems, we can never know the precise values of the poles, it could be 2±∆.

b) Disturbance between the two systems will cause instability.

Page 17: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Demo: Magnetic Levitation

io = current needed to balance the weight W at the rest height yo

Force balance

Linearize about equilibrium with specific values for parameters

))((

))((

0

20

2

2

tyy

tiiW

dt

yd

g

W

─── Second-order unstable system)(4

10)(

)(10)(4

2

2

2

sIs

sY

titydt

dy

Page 18: Signals and Systems Fall 2003 Lecture #20 20 November 2003

Magnetic Levitation (Continued):

—Stable!

)104(10

10)(

122 KsKs

KsQ

6.0 ,3.1 ,1 .. 21 KgE :

2)3(

10)(

s

sQ


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