SlideShare una empresa de Scribd logo
1 de 187
CHAPTER 2 ANALYSIS OF DOMAIN-Z
[object Object],[object Object],[object Object]
Z transform ? ,[object Object],[object Object]
[object Object],[object Object],[object Object]
Section objectives ,[object Object],[object Object],[object Object],[object Object],[object Object]
Discrete-Time Signals. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
One-sided z transform ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
Two-sided z transform ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
z TRANSFORMS OF  ELEMENTARY FUNCTIONS
Unit-Step Function ,[object Object],[object Object],[object Object],[object Object],It is noted that 1(k) as defined by is commonly called a  unit-step sequence.
Unit-Ramp Function   ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
Polynomial Function a k .   ,[object Object],[object Object]
Polynomial Function a k  (ctnd) ,[object Object],[object Object],[object Object],[object Object]
Exponential Function   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Sinusoidal Function   ,[object Object],[object Object],[object Object],[object Object],[object Object]
Sinusoidal Function (ctnd) ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
z Transformation Table ,[object Object]
IMPORTANT PROPERTIES AND THEOREMS OF THE  Z  TRANSFORM   ,[object Object],[object Object],[object Object],[object Object]
Will discussed properties and theorems:   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 2-3 ,[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 2-4 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 2-5 ,[object Object],[object Object],[object Object]
Solution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Example 2-6 ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
Exercise ,[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
Example 2-8 ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
Example 2-9 ,[object Object],[object Object],[object Object],[object Object]
Summary. ,[object Object],[object Object]
THE INVERSE z TRANSFORM ,[object Object],[object Object]
Method for finding the inverse  z  transform ,[object Object]
Method for finding the inverse  z  transform (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object]
Direct Division Method. ,[object Object],[object Object]
Direct Division Method (ctnd) ,[object Object],[object Object],[object Object]
Direct Division Method (ctnd) ,[object Object]
Direct Division Method (ctnd) ,[object Object]
Direct Division Method (ctnd) ,[object Object],[object Object],[object Object]
Direct Division Method (ctnd) ,[object Object]
Direct Division Method (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Direct Division Method (ctnd) ,[object Object]
Direct Division Method (ctnd) ,[object Object],[object Object],[object Object]
Direct Division Method (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computational Method ,[object Object],[object Object],[object Object],[object Object]
Computational Method (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computational Method (ctnd) ,[object Object]
Computational Method (ctnd) ,[object Object],[object Object],[object Object],[object Object]
Computational Method –MATLAB (ctnd) ,[object Object],[object Object]
Computational Method –MATLAB (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computational Method –MATLAB (ctnd) % Finding inverse z transform % ***** Finding the inverse z transform of C(z) is the same as  % finding the response of the system Y(z)/X(z) = G(z) to the  % Kronecker delta input ***** % ***** Enter the numerator and denominator of C(z) ***** num = [0  0.4673  -0.3393];  den = [1  -1.5327  0.6607]; % ***** Enter the Kronecker delta input x and filter command  % y = filter(num,den,x) ***** x=[1  zeros(1,40)];  y = filter(num,den,x) MATLAB Program 2-1
Computational Method –MATLAB (ctnd) ,[object Object],y = Columns 1 through 7 0  0.4673  0.3769  0.2690  0.1632  0.0725  0.0032  Columns 8 through 14 -0.0429  -0.0679  -0.0758  -0.0712  -0.0591  -0.0436  -0.0277  Columns 15 through 21 -0.0137  -0.0027  0.0050  0.0094  0.0111  0.0108  0.0092  Columns 22 through 28 0.0070  0.0046  0.0025  0.0007  -0.0005  -0.0013  -0.0016  Columns 29 through 35 -0.0016  -0.0014  -0.0011  -0.0008  -0.0004  -0.0002  0.0000  Columns 36 through 41 0.0002  0.0002  0.0002  0.0002  0.0002  0.0001
Computational Method-MATLAB (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computational Method – MATLAB (ctnd) ,[object Object],[object Object]
% Response to Kronecker delta input ------------------- num = [0  0.4673  -0.3393]; den  = [1  -1.5327  0.6607]; x = [1  zeros(1,40)]; k = 0:40; y = filter(num,den,x); plot(k,y,’o’) v=[0  40  -1  1]; axis(v); grid title (‘Response to Kronecker Delta Input’) xlabel(‘k’) ylabel(‘y(k)’) MATLAB Program 2-2
Figure 2- 12  Response of the system defined by Equation (2. 31) to the Kronecker delta input.
Computational Method (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computational Method – diff. eqn. (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computational Method – diff. eqn. (ctnd) ,[object Object],[object Object],[object Object]
Partial-Fraction-Expansion Method ,[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object],[object Object],[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object],[object Object]
[object Object]
Partial-Fraction-Expansion Method (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS ,[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object],[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) Table 2.3  z  transform of  x ( k+m ) and  x ( k-m )
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object],[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object],[object Object],[object Object]
z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) ,[object Object],[object Object],[object Object],[object Object],Entry 19 Entry 18
RECONSTRUCTING ORIGINAL SIGNALS FROM SAMPLED SIGNALS ,[object Object],[object Object]
RECONSTRUCTING ORIGINAL SIGNALS FROM SAMPLED SIGNALS (ctnd) Figure 2- 13  A frequency spectrum.
RECONSTRUCTING ORIGINAL SIGNALS FROM SAMPLED SIGNALS (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Figure 2- 14  Plots of the frequency spectra |X*(jω))| versus ω for two values of sampling frequency ω s :  (a)  ω s  > 2ω 1 ;  (b)  ω s < 2ω 1
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],Figure 2- 15   Amplitude frequency spectrum of the ideal low-pass filter.
[object Object],[object Object],[object Object],[object Object]
Figure 2- 16  Frequency spectra of the signals before and after ideal filtering.  Ideal Low-Pass Filter (ctnd). Figure 2-16 shows the frequency spectra of the signals before and after ideal filtering.
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
Figure 2- 17   Impulse response  g I ( t ) of ideal filter.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Figure 2.18 (a) Frequency-response curves for the zero-order hold; (b) equivalent Bode diagram when T = 1 sec.
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],Figure 2- 19   Comparison of the ideal filter and the zero-order hold
[object Object],[object Object],[object Object]
Figure 2- 20   Diagram showing the regions where folding error occurs
[object Object],[object Object],[object Object]
[object Object],[object Object]
Figure 2- 21   Frequency spectra of an impulse-sampled signal  x*(t).   Aliasing (ctnd).
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE ,[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) ,[object Object],[object Object],[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) ,[object Object],[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) ,[object Object],[object Object],[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) ,[object Object],[object Object],[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) ,[object Object],[object Object],[object Object],[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) ,[object Object],[object Object],[object Object],[object Object]
MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) Left  plane Right  plane Unit circle Figure : Mapping s plane    z plane
[object Object]
OPEN-LOOP DISCRETE-TIME SYSTEMS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],◦  Gp(s)  - plant transfer fn.  ◦   G ( s )  -  product of the plant transfer fn and the zero-order hold transfer fn, that is ◦   Hence this system can be  represented like in Figure 4-lb.  Figure 4-1  Open-loop sampled-data system  ZOH
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The Pulse Transfer Function (cont)
[object Object],[object Object],[object Object],[object Object],The Pulse Transfer Function (cont)
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],The Pulse Transfer Function (cont)
[object Object],[object Object],Figure 4.2
[object Object],[object Object],[object Object],[object Object],ENTRANCE 8
[object Object],[object Object],[object Object],Entrance 8
[object Object],[object Object],Figure 4.3  Open-loop sampled-data systems
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],The Pulse Transfer Function (cont)
[object Object],[object Object],[object Object]
STABILITY ANALYSIS OF CLOSED-LOOP SYSTEMS IN THE  z  PLANE
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object]
Figure 2- 34  Closed-loop control system of  Example 4-2.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
Table 2. 4   General Form Of The Jury Stability Table
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Solution
Table 2. 5  Jury Stability Table For The Fourth-Order System
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Table 2. 6  JURY STABILITY TABLE FOR THE SYSTEM OF EXAMPLE 4-4
[object Object],[object Object],[object Object],[object Object]
THANK YOU END OF CHAPTER 2

Más contenido relacionado

La actualidad más candente

Chapter 4 time domain analysis
Chapter 4 time domain analysisChapter 4 time domain analysis
Chapter 4 time domain analysis
Bin Biny Bino
 
fourier transforms
fourier transformsfourier transforms
fourier transforms
Umang Gupta
 

La actualidad más candente (20)

Modern Control - Lec 01 - Introduction to Control System
Modern Control - Lec 01 - Introduction to Control SystemModern Control - Lec 01 - Introduction to Control System
Modern Control - Lec 01 - Introduction to Control System
 
Laplace Transform And Its Applications
Laplace Transform And Its ApplicationsLaplace Transform And Its Applications
Laplace Transform And Its Applications
 
Chapter 4 time domain analysis
Chapter 4 time domain analysisChapter 4 time domain analysis
Chapter 4 time domain analysis
 
digital control Chapter1 slide
digital control Chapter1 slidedigital control Chapter1 slide
digital control Chapter1 slide
 
STate Space Analysis
STate Space AnalysisSTate Space Analysis
STate Space Analysis
 
State space models
State space modelsState space models
State space models
 
State space analysis shortcut rules, control systems,
State space analysis shortcut rules, control systems, State space analysis shortcut rules, control systems,
State space analysis shortcut rules, control systems,
 
Time response second order
Time response second orderTime response second order
Time response second order
 
Z transforms and their applications
Z transforms and their applicationsZ transforms and their applications
Z transforms and their applications
 
Modern Control - Lec07 - State Space Modeling of LTI Systems
Modern Control - Lec07 - State Space Modeling of LTI SystemsModern Control - Lec07 - State Space Modeling of LTI Systems
Modern Control - Lec07 - State Space Modeling of LTI Systems
 
Z Transform
Z TransformZ Transform
Z Transform
 
Modern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID TuningModern Control - Lec 06 - PID Tuning
Modern Control - Lec 06 - PID Tuning
 
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
Modern Control - Lec 05 - Analysis and Design of Control Systems using Freque...
 
Dcs lec03 - z-analysis of discrete time control systems
Dcs   lec03 - z-analysis of discrete time control systemsDcs   lec03 - z-analysis of discrete time control systems
Dcs lec03 - z-analysis of discrete time control systems
 
Lecture 23 24-time_response
Lecture 23 24-time_responseLecture 23 24-time_response
Lecture 23 24-time_response
 
Lecture 14 15-time_domain_analysis_of_2nd_order_systems
Lecture 14 15-time_domain_analysis_of_2nd_order_systemsLecture 14 15-time_domain_analysis_of_2nd_order_systems
Lecture 14 15-time_domain_analysis_of_2nd_order_systems
 
Reference for z and inverse z transform
Reference for z and inverse z transformReference for z and inverse z transform
Reference for z and inverse z transform
 
Z transfrm ppt
Z transfrm pptZ transfrm ppt
Z transfrm ppt
 
fourier transforms
fourier transformsfourier transforms
fourier transforms
 
Properties of laplace transform
Properties of laplace transformProperties of laplace transform
Properties of laplace transform
 

Destacado

Discrete time control systems
Discrete time control systemsDiscrete time control systems
Discrete time control systems
phannahty
 
Digital control systems
Digital control systemsDigital control systems
Digital control systems
avenkatram
 
Digital control and state variable methods by m gopal
Digital control and state variable methods by m gopalDigital control and state variable methods by m gopal
Digital control and state variable methods by m gopal
Tulasi Chowdary
 
Estimating standard error of measurement
Estimating standard error of measurementEstimating standard error of measurement
Estimating standard error of measurement
Carlo Magno
 
Power factor improvement using upfc
Power factor improvement using upfcPower factor improvement using upfc
Power factor improvement using upfc
Uday Wankar
 
Standard error of measurement
Standard error of measurementStandard error of measurement
Standard error of measurement
tlcoffman
 

Destacado (20)

Discrete time control systems
Discrete time control systemsDiscrete time control systems
Discrete time control systems
 
Digital control systems
Digital control systemsDigital control systems
Digital control systems
 
Digital control and state variable methods by m gopal
Digital control and state variable methods by m gopalDigital control and state variable methods by m gopal
Digital control and state variable methods by m gopal
 
Week 17 digital control sytem
Week 17 digital control sytemWeek 17 digital control sytem
Week 17 digital control sytem
 
Lti and z transform
Lti and z transformLti and z transform
Lti and z transform
 
Chapter1 slide
Chapter1 slideChapter1 slide
Chapter1 slide
 
Manegerial planing &amp; descion making
Manegerial planing &amp; descion makingManegerial planing &amp; descion making
Manegerial planing &amp; descion making
 
Ravindra kumar agarwal
Ravindra kumar agarwalRavindra kumar agarwal
Ravindra kumar agarwal
 
High Performance Digital Control Presentation Apec 2016 Dr. Hamish Laird
High Performance Digital Control Presentation Apec 2016 Dr. Hamish LairdHigh Performance Digital Control Presentation Apec 2016 Dr. Hamish Laird
High Performance Digital Control Presentation Apec 2016 Dr. Hamish Laird
 
Csl14 16 f15
Csl14 16 f15Csl14 16 f15
Csl14 16 f15
 
Effective personal swot analysis
Effective personal swot analysisEffective personal swot analysis
Effective personal swot analysis
 
Estimating standard error of measurement
Estimating standard error of measurementEstimating standard error of measurement
Estimating standard error of measurement
 
Power factor improvement using upfc
Power factor improvement using upfcPower factor improvement using upfc
Power factor improvement using upfc
 
Standard error of measurement
Standard error of measurementStandard error of measurement
Standard error of measurement
 
Dsp U Lec06 The Z Transform And Its Application
Dsp U   Lec06 The Z Transform And Its ApplicationDsp U   Lec06 The Z Transform And Its Application
Dsp U Lec06 The Z Transform And Its Application
 
Dsp U Lec05 The Z Transform
Dsp U   Lec05 The Z TransformDsp U   Lec05 The Z Transform
Dsp U Lec05 The Z Transform
 
Applications of Z transform
Applications of Z transformApplications of Z transform
Applications of Z transform
 
Error analysis presentation
Error analysis presentationError analysis presentation
Error analysis presentation
 
Chapter 1 computer hardware and flow of information
Chapter 1 computer hardware and flow of informationChapter 1 computer hardware and flow of information
Chapter 1 computer hardware and flow of information
 
Fourier series
Fourier seriesFourier series
Fourier series
 

Similar a digital control Chapter 2 slide

Polya recurrence
Polya recurrencePolya recurrence
Polya recurrence
Brian Burns
 
Conjugate Gradient Methods
Conjugate Gradient MethodsConjugate Gradient Methods
Conjugate Gradient Methods
MTiti1
 

Similar a digital control Chapter 2 slide (20)

Z transform and Properties of Z Transform
Z transform and Properties of Z TransformZ transform and Properties of Z Transform
Z transform and Properties of Z Transform
 
lec z-transform.ppt
lec z-transform.pptlec z-transform.ppt
lec z-transform.ppt
 
21 5 ztransform
21 5 ztransform21 5 ztransform
21 5 ztransform
 
residue
residueresidue
residue
 
TLT
TLTTLT
TLT
 
21 4 ztransform
21 4 ztransform21 4 ztransform
21 4 ztransform
 
Solution of the Difference equations.pptx
Solution of  the Difference equations.pptxSolution of  the Difference equations.pptx
Solution of the Difference equations.pptx
 
Lec11_removed_removed_removed.pdf
Lec11_removed_removed_removed.pdfLec11_removed_removed_removed.pdf
Lec11_removed_removed_removed.pdf
 
Frequency Analysis using Z Transform.pptx
Frequency Analysis  using Z Transform.pptxFrequency Analysis  using Z Transform.pptx
Frequency Analysis using Z Transform.pptx
 
Z transform
Z transformZ transform
Z transform
 
fouriertransform.pdf
fouriertransform.pdffouriertransform.pdf
fouriertransform.pdf
 
Linear Transformations_part1.pdf
Linear Transformations_part1.pdfLinear Transformations_part1.pdf
Linear Transformations_part1.pdf
 
Laplace_1.ppt
Laplace_1.pptLaplace_1.ppt
Laplace_1.ppt
 
Online Signals and Systems Assignment Help
Online Signals and Systems Assignment HelpOnline Signals and Systems Assignment Help
Online Signals and Systems Assignment Help
 
Lecture5
Lecture5Lecture5
Lecture5
 
Unit ii
Unit iiUnit ii
Unit ii
 
EC8352-Signals and Systems - Laplace transform
EC8352-Signals and Systems - Laplace transformEC8352-Signals and Systems - Laplace transform
EC8352-Signals and Systems - Laplace transform
 
Polya recurrence
Polya recurrencePolya recurrence
Polya recurrence
 
Signals and Systems Assignment Help
Signals and Systems Assignment HelpSignals and Systems Assignment Help
Signals and Systems Assignment Help
 
Conjugate Gradient Methods
Conjugate Gradient MethodsConjugate Gradient Methods
Conjugate Gradient Methods
 

Último

1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
negromaestrong
 

Último (20)

Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptx
 

digital control Chapter 2 slide

  • 1. CHAPTER 2 ANALYSIS OF DOMAIN-Z
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. z TRANSFORMS OF ELEMENTARY FUNCTIONS
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54.
  • 55.
  • 56.
  • 57.
  • 58.
  • 59.
  • 60.
  • 61.
  • 62.
  • 63.
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
  • 73.
  • 74. Computational Method –MATLAB (ctnd) % Finding inverse z transform % ***** Finding the inverse z transform of C(z) is the same as % finding the response of the system Y(z)/X(z) = G(z) to the % Kronecker delta input ***** % ***** Enter the numerator and denominator of C(z) ***** num = [0 0.4673 -0.3393]; den = [1 -1.5327 0.6607]; % ***** Enter the Kronecker delta input x and filter command % y = filter(num,den,x) ***** x=[1 zeros(1,40)]; y = filter(num,den,x) MATLAB Program 2-1
  • 75.
  • 76.
  • 77.
  • 78. % Response to Kronecker delta input ------------------- num = [0 0.4673 -0.3393]; den = [1 -1.5327 0.6607]; x = [1 zeros(1,40)]; k = 0:40; y = filter(num,den,x); plot(k,y,’o’) v=[0 40 -1 1]; axis(v); grid title (‘Response to Kronecker Delta Input’) xlabel(‘k’) ylabel(‘y(k)’) MATLAB Program 2-2
  • 79. Figure 2- 12 Response of the system defined by Equation (2. 31) to the Kronecker delta input.
  • 80.
  • 81.
  • 82.
  • 83.
  • 84.
  • 85.
  • 86.
  • 87.
  • 88.
  • 89.
  • 90.
  • 91.
  • 92.
  • 93.
  • 94.
  • 95.
  • 96.
  • 97.
  • 98. z TRANSFORM METHOD FOR SOLVING DIFFERENCE EQUATIONS (ctnd) Table 2.3 z transform of x ( k+m ) and x ( k-m )
  • 99.
  • 100.
  • 101.
  • 102.
  • 103.
  • 104.
  • 105.
  • 106.
  • 107. RECONSTRUCTING ORIGINAL SIGNALS FROM SAMPLED SIGNALS (ctnd) Figure 2- 13 A frequency spectrum.
  • 108.
  • 109.
  • 110.
  • 111.
  • 112.
  • 113. Figure 2- 14 Plots of the frequency spectra |X*(jω))| versus ω for two values of sampling frequency ω s : (a) ω s > 2ω 1 ; (b) ω s < 2ω 1
  • 114.
  • 115.
  • 116.
  • 117.
  • 118.
  • 119. Figure 2- 16 Frequency spectra of the signals before and after ideal filtering. Ideal Low-Pass Filter (ctnd). Figure 2-16 shows the frequency spectra of the signals before and after ideal filtering.
  • 120.
  • 121.
  • 122.
  • 123.
  • 124. Figure 2- 17 Impulse response g I ( t ) of ideal filter.
  • 125.
  • 126.
  • 127.
  • 128. Figure 2.18 (a) Frequency-response curves for the zero-order hold; (b) equivalent Bode diagram when T = 1 sec.
  • 129.
  • 130.
  • 131.
  • 132.
  • 133. Figure 2- 20 Diagram showing the regions where folding error occurs
  • 134.
  • 135.
  • 136. Figure 2- 21 Frequency spectra of an impulse-sampled signal x*(t). Aliasing (ctnd).
  • 137.
  • 138.
  • 139.
  • 140.
  • 141.
  • 142.
  • 143.
  • 144.
  • 145.
  • 146.
  • 147. MAPPING BETWEEN THE s PLANE AND THE z PLANE (ctnd) Left plane Right plane Unit circle Figure : Mapping s plane  z plane
  • 148.
  • 149.
  • 150.
  • 151.
  • 152.
  • 153.
  • 154.
  • 155.
  • 156.
  • 157.
  • 158.
  • 159.
  • 160.
  • 161.
  • 162.
  • 163. STABILITY ANALYSIS OF CLOSED-LOOP SYSTEMS IN THE z PLANE
  • 164.
  • 165.
  • 166.
  • 167.
  • 168.
  • 169. Figure 2- 34 Closed-loop control system of Example 4-2.
  • 170.
  • 171.
  • 172.
  • 173.
  • 174. Table 2. 4 General Form Of The Jury Stability Table
  • 175.
  • 176.
  • 177.
  • 178.
  • 179.
  • 180.
  • 181. Table 2. 5 Jury Stability Table For The Fourth-Order System
  • 182.
  • 183.
  • 184.
  • 185. Table 2. 6 JURY STABILITY TABLE FOR THE SYSTEM OF EXAMPLE 4-4
  • 186.
  • 187. THANK YOU END OF CHAPTER 2