Summary: Root Locus sketching rules - MIT … Root Locus sketching rules ... From the geometry, p 1...

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Summary: Root Locus sketching rules Negative Feedback Rule 1: # branches = # poles Rule 2: symmetrical about the real axis Rule 3: real-axis segments are to the left of an odd number of real-axis finite poles/zeros Rule 4: RL begins at poles, ends at zeros Rule 5: Asymptotes: real-axis intercept σ a ,angles θ a P P = nite poles nite zeros = (2m + 1)π m =0, ±1, ±2,... σ a θ a #nite poles #nite zeros #nite poles #nite zeros Rule 6: Real-axis break-in and breakaway points 1 dK (σ) Found by setting K (σ)= G(σ)H (σ) (σ real) and solving dσ =0 for real σ. Rule 7: Imaginary axis crossings (transition to instability) Re KG(j ω)H (j ω) = 1, Found by setting KG(j ω)H (j ω)= 1 and solving £ £ ¤ ¤ Im KG(j ω)H (j ω) = 0. Today’s Goal: Shaping the transient response by adjusting the feedback gain 2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

Transcript of Summary: Root Locus sketching rules - MIT … Root Locus sketching rules ... From the geometry, p 1...

Page 1: Summary: Root Locus sketching rules - MIT … Root Locus sketching rules ... From the geometry, p 1 − ... by finding the intersection of the root locus

Summary: Root Locus sketching rules

Negative Feedback • Rule 1: # branches = # poles • Rule 2: symmetrical about the real axis • Rule 3: real-axis segments are to the left of an odd number of real-axis finite

poles/zeros • Rule 4: RL begins at poles, ends at zeros • Rule 5: Asymptotes: real-axis intercept σa,angles θa P P

= finite poles − finite zeros

= (2m + 1)π

m = 0,±1,±2, . . .σa θa#finite poles − #finite zeros #finite poles − #finite zeros

• Rule 6: Real-axis break-in and breakaway points 1 dK(σ)

Found by setting K(σ) = − G(σ)H(σ)

(σ real) and solving dσ

= 0 for real σ.

• Rule 7: Imaginary axis crossings (transition to instability) ⎨ Re KG(jω)H(jω) = −1, Found by setting KG(jω)H(jω) = −1 and solving

££

¤¤

⎩ Im KG(jω)H(jω) = 0.

• Today’s Goal: Shaping the transient response by adjusting the feedback gain

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

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Damping ratio and pole location Recall 2nd—order

underdamped sustem

ω2 n

s2 + 2ζωns + ωn 2 .

Complex poles − σd ± jωd, ½ σd = ζωn,

where pωd = 1 − ζ2ωn.

From the geometry, p1 − ζ2

tan θ = ζ

⇒Figure by MIT OpenCourseWare.

cos θ = ζ. Fig. 4.17

The angle θ that a complex pole subtends to the origin of the s-plane determines the damping ratio ζ of an underdamped 2nd order system.

The distance from the pole to the origin equals the natural frequency.

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

X

X

ωn

θ

s-plane

− ζ ωn = − σd

+ jωn 1 − ζ2 = jωd

− jωn 1 − ζ2 = −jωd

σ

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Transient response and pole location

• Settling time

Ts ≈ 4/(ζωn);

• Damped osc. frequency pωd = 1 − ζ2ωn

Overshoot %OS• Ã ! ζπ

%OS = exp − p1 − ζ2 p

1 − ζ2 tan θ =

ζ

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

Images removed due to copyright restrictions.

Please see: Fig. 4.19 in Nise, Norman S. Control Systems Engineering. 4th ed. Hoboken, NJ: John Wiley, 2004.

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Trends in underdamped response as ζ increases

Fig. 4.14 As ζ ,↑

Rise time Tr (slower); • ↑

• Settling time Ts ≈ 4/(ζωn) ↑ (slower); p• Peak time Tp = π/( 1 − ζ2ωn) ↑ (slower);

Overshoot %OS (smaller) • ↓

Images removed due to copyright restrictions.

Please see: Fig. 4.15 and 4.16 in Nise, Norman S. Control Systems Engineering. 4th ed. Hoboken, NJ: John Wiley, 2004.

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

Tr Tp Tst

c(t)

0.1cfinal

0.9cfinal

0.98cfinal

1.02cfinal

cmax

c final

Figure by MIT OpenCourseWare.

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As ζ ↑ ⇔ θ ↓,

• Rise time Tr ↑ (slower); If the given RL does not • Settling time Ts ↑ (slower); allow the desired transient

characteristics to be achieved, • Peak time Tp ↑ (slower); then we must modify the RL

by adding poles/zeros • Overshoot %OS ↓ (smaller) (compensator design)

Achieving a desired transient with a given RL

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

-j1

j1

-1-2-3-4

s-plane

σX X

θmax

0

-j4

-j2

-j6

j2

j4

j6

-2-5-10

s-plane

σ

X

X

θmax

Figure by MIT OpenCourseWare.

Figure 8.25 Figure 8.10

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K 0.3162 s(s+2)

Vref (s) X(s)

Example: 2nd order – type 1 system

We are given ζ = 1/√2 = 0.7071. For this value, Ã !

−2 −1 0

σ

−1

+1

−pc−

−pc+

closed loop pole locations for ζ=0.7071

%OS = exp p ζπ × 100 = e−π × 100 = 4.32%.

1 − ζ2

Also, cos θ = ζ θ = ±45◦.⇒

We can locate the closed—loop polesby finding the intersection of the root locus

with the lines θ = ±45◦.

We can also estimate the feedback gain Kthat will yield the required closed—loop poles −pc+, −pc−

from the relationship K = 1/ |G(−pc±)H(−pc±)| ⇒

K = |pc±| |pc± + 2|

=

√2 ×

√2 = 6.325.

0.3162 0.3162

The numerator is computed geometrically from the equilateral triangle {(−2), (pc+), (0)}

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

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Example: higher order system

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

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Positive feedback: sketching the Root Locus

Closed—loop TF(s) =

Figure 8.26

KG(s) .

1 − KG(s)H(s)

• Rule 1: # branches = # poles • Rule 2: symmetrical about the real axis • Rule 3: real-axis segments are to the left of an even number of real-axis finite

poles/zeros • Rule 4: RL begins at poles, ends at zeros • Rule 5: Asymptotes: real-axis intercept σa,angles θa P P

finite poles − finite zeros 2mπ σa =

#finite poles − #finite zeros θa =

#finite poles − #finite zeros m = 0,±1,±2, . . .

• Rule 6: Real-axis break-in and breakaway points 1 dK(σ)

Found by setting K(σ) = − G(σ)H(σ)

(σ real) and solving dσ

= 0+ for real σ.

• Rule 7: Imaginary axis crossings (transition to instability) ⎨ Re KG(jω)H(jω) = +−1, Found by setting KG(jω)H(jω) = −1 and solving

££

¤¤

+ ⎩ Im KG(jω)H(jω) = 0.

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

Figure by MIT OpenCourseWare.

KG(s)C(s)R(s) +

+

H(s)

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Example: positive feedback

K < 0 ⇔

with K > 0.

Figure 8.11

Figure 8.26

Real—axis asymptote intercept:

σa =(−1 − 2 − 4) − (−3)

= − 4

4 − 1 3

Asymptote angles

2mπ θa = , m = 0, 1, 2, . . .

4 − 1 = 0, m = 0,

= 2π/3, m = 1,

= 4π/3, m = 2.

Breakaway point:

Image removed due to copyright restrictions.

found numerically.

Please see Fig. 8.26b in Nise, Norman S. Control Systems Engineering. 4th ed. Hoboken, NJ: John Wiley, 2004.

2.004 Fall ’07 Lecture 20 – Wednesday, Oct. 24

Figure by MIT OpenCourseWare.

Figure by MIT OpenCourseWare.K(s + 3)

s(s + 1)(s + 2)(s + 4)

C(s)R(s)

K(s + 3) -1s(s + 1)(s + 2)(s + 4)

C(s)R(s) +

+

+

_