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Performance of FCS2018 mk lecture notes

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- A compromise value of p should be selected to obtain M1 and M2 large or small at the same time.. - For a fixed ωn, the less the value of ζ , the more oscillatory the time response; and

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CONTROL SYSTEM DESIGN

Lecture Notes The Performance of Feedback Control Systems

4 - To analyze & design a control system, we must define & measure its

performance

- Generally, for a given p, M1 is large and M2 is small, or vice versa

- A compromise value of p should be selected to obtain M1 and M2 large (or small)

at the same time

7 - R s( ) 1 = : the Laplace transform of the unit impulse

- R s( ) A

s

= : the Laplace transform of the step

- R s( ) A2

s

= : the Laplace transform of the ramp

- R s( ) 23A

s

= : the Laplace transform of the parabolic

9 - R(s) is a unit step input

-

2

2

n

ω

+ + : the standard form of a second – order transfer function

- y(t): the time response of the system

- The steady – state of the output y(t) is 1

10 - The response in the time domain of a second – order system to a unit step input

- For a fixed ωn, the less the value of ζ , the more oscillatory the time response; and the time response crosses the steady – state value (1) several times

11 - R(s) is a unit impulse input

- The steady – state of the output y(t) is 0

- For a fixed ωn, the less the value of ζ , the more oscillatory the time response; and the time response crosses the steady – state value (0) several times

13 - The swiftness of the response is measured by the rise time T r & the peak time T p

- The settling time is defined as the time required for the system to settle within a certain percentage delta of the input amplitude

14 - Percent overshoot & peak time should be small, but they can not be small at the same time

- When ζ varies from 0 to 1, percent overshoot decreases and peak time increases; these two criteria can not get minimum at the same time

15 - The less the value of ωn, the faster the time response goes to steady state

1,2 n n 1

s = − ζω ±jω − ζ : roots of the denominator of the transfer function T(s)

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Page Notes

- s 4

n

T

ζω

= : settling time, see page #13

- s1,2= − ± 1 j1: a pair of conjugate roots is selected, their real part satisfies the condition of settling time (less than 4 seconds)

23 - T1(s) has a negative real pole

- This real pole dampens the overshoot and increases the settling time

25

-

= =

= + + + : time response to a unit step

- The position of a pole (in the s – domain) determines properties of the time

response

27 - E(s): the tracking error

- K p: the position error constant

-

1

ss

p

A e

K

=

+ : the steady – state error is inversely proportional to the position error constant

28 - K v: the velocity error constant

- ss

v

A e

K

= : the steady – state error is inversely proportional to the velocity error constant

29 - K a: the acceleration error constant

- ss

a

A e

K

= : the steady – state error is inversely proportional to the acceleration error constant

30 - Number of Integrations: the order of s in 1

s

31 - e ss = 0: for a step input, the steady – state error is zero

-

2

ss

A e

K K

= : for a ramp input, the steady – state error is nonzero

33 - The larger the value of K2, the less the value of error

35 -

0

1 1

1 2lim 40

5

ss

+

+

: suppose that K1 = 2

39 - ISE is the accumulation of the square of the error

- In steady state, e(t) and e2(t) are zero, but ISE is nonzero

41 -

2

1 ( )

T s

= + + : transfer function of the system, obtained directly from the block diagram model

- ISE, ITAE, and ITSE obtain their own minima at different values of ζ

- For instance, if we want to use ITAE to evaluate the performance of the system,

we should select ζ = 0.75

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Page Notes

- If ITSE is applied, then ζ should be 0.60

42

- ( )

( )

k k k d

P

Y s

T s

=

: + The transfer function, see Mathematical Models of Systems

+ This is the transfer function of the system when the input is the disturbance

T d (s)

- The effect of the disturbance is minimized if the output Y(s) in ( )

( )

k k k d

P

Y s

T s

=

is minimized

-

nontouching nontouching

N

=

∆ = − +  −  + : the determinant, see Mathematical

Models of Systems

43 - P1 = 1: the unique path connecting the input T d (s) to the ouput Y(s)

44 - K1= 0.5; K K K1 2 p = 2.5: for instance

- T s d( ) 1

s

= : suppose that the disturbance is a step

3 3

0.1 0

dI

K dK

= − + = : to minimize I with respect to K3, the derivative of I with respect to K3 is set to 0

45 - Figure of two plots: applying the obtained K3, the steady state of the output Y(s) (the red curve) responsing to the disturbance T d (s) (the blue line) is zero, so the

effect of the disturbance is minimized

51 - The step responses of the two transfer function are nearly identical

- It can be observed that the term (s + 10) has nearly no effect on the response of

T1(s), hence it can be eliminated

52 - A higher – order system G H (s) is simplified to a lower – order system G L (s)

- k!: the factorial of the positive integer k

54 - By definition, 0! = 1

57 - The step responses of the two transfer function are nearly identical

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