/
Now let us calculate the transient response of a combined discrete-time and continuous-time Now let us calculate the transient response of a combined discrete-time and continuous-time

Now let us calculate the transient response of a combined discrete-time and continuous-time - PowerPoint Presentation

widengillette
widengillette . @widengillette
Follow
344 views
Uploaded On 2020-07-02

Now let us calculate the transient response of a combined discrete-time and continuous-time - PPT Presentation

Chapter 5 DiscreteTime Process Models DiscreteTime Transfer Functions The input to the continuoustime system G s is the signal The system response is given by the convolution integral ID: 792889

discrete time process chapter time discrete chapter process transfer approximation transform difference functions function system modelsexample continuous response equation

Share:

Link:

Embed:

Download Presentation from below link

Download The PPT/PDF document "Now let us calculate the transient respo..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

Slide2

Now let us calculate the transient response of a combined discrete-time and continuous-time system, as shown below.

Chapter 5

Discrete-Time Process Models

Discrete-Time Transfer Functions

The input to the continuous-time system

G(s) is the signal:

The system response is given by the convolution integral:

Slide3

With

Chapter 5

Discrete-Time Process Models

Discrete-Time Transfer Functions

For 0 ≤

τ

t,

We assume that the output sampler is ideally synchronized with the input sampler.

The output sampler gives the signal

y

*

(

t

) whose values are the same as

y

(

t

) in every sampling instant

t

= jTs.

Applying the

Z

-transform yields:

Slide4

Chapter 5

Discrete-Time Process ModelsDiscrete-Time Transfer Functions

Taking

i

= j – k

, then:

For zero initial conditions,

g(iT

s) = 0, i < 0, thus:

where

Discrete-time Transfer Function

The

Z

-transform

of Continuous-time Transfer Function

g

(

t

)

The

Z

-transform

of

Input Signal

u

(

t

)

Slide5

Chapter 5

Discrete-Time Process ModelsDiscrete-Time Transfer Functions

Y

(

z

) only indicates information about y(t) in sampling times, since G(z

) does not relate input and output signals at times between sampling times.

When the sample-and-hold device is assumed to be a zero-order hold, then the relation between G(s) and G(z) is

Slide6

Chapter 5

Discrete-Time Process ModelsExample

Find the discrete-time transfer function of a continuous system given by:

where

Slide7

Chapter 5

Discrete-Time Process ModelsInput-Output Discrete-Time Models

A general discrete-time linear model can be written in time domain as:

where

m

and

n

are the order of numerator and denominator, k denotes the time instant, and d is the time delay.

Defining a shift operator

q–1, where:

Then, the first equation can be rewritten as:

or

Slide8

Chapter 5

Discrete-Time Process ModelsInput-Output Discrete-Time Models

The polynomials

A

(q–1) and

B(q–1) are in descending order of q–1, completely written as follows:

The last equation on the previous page can also be written as:

Hence, we can define a function:

Identical, with the difference only in the use of notation for shift operator,

q

-1

or

z

–1

Slide9

Chapter 5

Discrete-Time Process ModelsApproximation of

Z-Transform

Previous example shows how the

Z-transform of a function written in s

-Domain can be so complicated and tedious.Now, several methods that can be used to approximate the Z-transform will be presented.

Consider the integrator block as shown below:

The integration result for one sampling period of

T

s

is:

Slide10

Chapter 5

Discrete-Time Process Models

Forward Difference Approximation

(Euler Approximation)

The exact integration operation presented before will now be approximated using Forward Difference Approximation.

This method follows the equation given as:Approximation of Z-Transform

Taking the

Z

-transform

of the above equation:

while

Thus, the Forward Difference Approximation is done by taking

or

Slide11

Chapter 5

Discrete-Time Process Models

Backward Difference Approximation

The exact integration operation will now be approximated using Backward Difference Approximation.

This method follows the equation given as:

Approximation of Z-Transform

Taking the

Z

-transform

of the above equation:

while

Thus, the

Backward Difference

Approximation is done by taking

or

Slide12

Chapter 5

Discrete-Time Process Models

Trapezoidal Approximation

(Tustin Approximation, Bilinear Approximation)

The exact integration operation will now be approximated using Backward Difference Approximation.

This method follows the equation given as:

Taking the

Z

-transform

,

while

Thus, the

Trapezoidal Approximation

is done by taking

or

Approximation of

Z

-Transform

Slide13

Chapter 5

Discrete-Time Process ModelsExample

Find the discrete-time transfer function of

for the sampling time of

T

s = 0.5 s, by using (a) ZOH, (b) FDA, (c) BDA, (d) TA.

(a) ZOH

(b) FDA

Slide14

Chapter 5

Discrete-Time Process ModelsExample

(c) BDA

(d) TA

Slide15

Chapter 5

Discrete-Time Process ModelsExample

ZOH

FDA

TA

BDA

Slide16

Chapter 5

Discrete-Time Process ModelsExample: Discretization of Single-Tank System

Retrieve the

linearized model

of the single-tank system. Discretize the model using trapezoidal approximation, with

Ts = 10 s.

Laplace Domain

Z

-Domain

Slide17

Chapter 5

Discrete-Time Process ModelsExample: Discretization of Single-Tank System

Slide18

Chapter 5

Discrete-Time Process ModelsExample: Discretization of Single-Tank System

Slide19

Chapter 5

Discrete-Time Process ModelsExample: Discretization of Single-Tank System

:

Linearized

model

:

Discretized l

inearized model

Slide20

Chapter 5

Discrete-Time Process ModelsExample: Discretization of Single-Tank System

:

Linearized

model

:

Discretized l

inearized model

Slide21

Chapter 5

Discrete-Time Process ModelsHomework 8

(a) Find

the discrete-time transfer functions of the following continuous-time transfer function, for

Ts = 0.25 s and

Ts = 1 s. Use the Forward Difference Approximation

(b) Calculate

the step response of both

discrete transfer functions for

0 ≤ t ≤ 5 s.(c) Compare the step response of both transfer functions with the step response of the continuous-time transfer function G(s

) in one plot/scope for 0 ≤

t

≤ 0.5 s.

Slide22

Chapter 5

Discrete-Time Process ModelsHomework 8A

Find

the discrete-time transfer functions of the following continuous-time transfer function, for

Ts = 0.1 s and

Ts = 0.05 s. Use the following approximation:Forward Difference

(Andre, Burawi, Deom, Indah, Jagat)

Backward Difference (Arief, Arwin, Keanu, Yeza, Wilbert)

(b) Calculate

the step response of both

discrete transfer

functions for

0

t

≤ 0.5

s. The calculation for

t

=

kT

s, k = 0 until k

= 5 in each case must be done manually. The rest may be done by the help of Matlab Simulink.(c) Compare the step response of both discrete transfer functions with the step response of the continuous-time transfer function

G(s) in one plot/scope for 0 ≤ t ≤ 0.5 s.

Deadline: Thursday,

21 March 2019

.