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# PPT - Introduction Digital Control Systems Electrical Engineering (EE) Notes | EduRev

## Electrical Engineering (EE) : PPT - Introduction Digital Control Systems Electrical Engineering (EE) Notes | EduRev

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DigitalControl
Systems
INTRODUCTION
Page 2

DigitalControl
Systems
INTRODUCTION
Introduction
What is a control system?
Objective:
To make the system OUTPUT and the desired REFERENCE as close as possible, i.e., to make the ERROR as
small as possible.
Key Issues:
1) How to describe the system to be controlled? (Modeling)
2) How to design the controller? (Control)
Page 3

DigitalControl
Systems
INTRODUCTION
Introduction
What is a control system?
Objective:
To make the system OUTPUT and the desired REFERENCE as close as possible, i.e., to make the ERROR as
small as possible.
Key Issues:
1) How to describe the system to be controlled? (Modeling)
2) How to design the controller? (Control)
Introduction
What is important in a control system?
Stability
 (Transient) response speed
 Accuracy
Ødynamic overshooting and oscillation duration
 Robustness
Øerrors in models (uncertainties and nonlinearities)
Øeffects of disturbances
Øeffects of noises
Page 4

DigitalControl
Systems
INTRODUCTION
Introduction
What is a control system?
Objective:
To make the system OUTPUT and the desired REFERENCE as close as possible, i.e., to make the ERROR as
small as possible.
Key Issues:
1) How to describe the system to be controlled? (Modeling)
2) How to design the controller? (Control)
Introduction
What is important in a control system?
Stability
 (Transient) response speed
 Accuracy
Ødynamic overshooting and oscillation duration
 Robustness
Øerrors in models (uncertainties and nonlinearities)
Øeffects of disturbances
Øeffects of noises
Introduction
Modeling of dynamic systems
Model: A representation of a system.
Types of Models:
 Physical models (prototypes)
 Mathematical models (e.g., input-output relationships)
Analytical models (using physical laws)
Computer (numerical) models
Experimental models (using input/output experimental data)
Models for physical dynamic systems:
Lumped-parameter models
Continuous-parameter models. Example: Spring element (flexibility, inertia,
damping)
Page 5

DigitalControl
Systems
INTRODUCTION
Introduction
What is a control system?
Objective:
To make the system OUTPUT and the desired REFERENCE as close as possible, i.e., to make the ERROR as
small as possible.
Key Issues:
1) How to describe the system to be controlled? (Modeling)
2) How to design the controller? (Control)
Introduction
What is important in a control system?
Stability
 (Transient) response speed
 Accuracy
Ødynamic overshooting and oscillation duration
 Robustness
Øerrors in models (uncertainties and nonlinearities)
Øeffects of disturbances
Øeffects of noises
Introduction
Modeling of dynamic systems
Model: A representation of a system.
Types of Models:
 Physical models (prototypes)
 Mathematical models (e.g., input-output relationships)
Analytical models (using physical laws)
Computer (numerical) models
Experimental models (using input/output experimental data)
Models for physical dynamic systems:
Lumped-parameter models
Continuous-parameter models. Example: Spring element (flexibility, inertia,
damping)
Introduction
Signal categories for identifying control system types
Continuous-time signal & quantized signal
Continuous-time signal is defined continuously in the time domain. Figure on the left
shows a continuous-time signal, represented by x(t).
Quantized signal is a signal whose amplitudes are discrete and limited. Figure on the right
shows a quantized signal.
Analog signal or continuous signal is continuous in time and in amplitude. The real word
consists of analog signals.
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