Ch 1: Introduction to Control Systems Flashcards

1
Q

Three Major

Theories

A

Classical Control Theory

Modern Control Theory

Robust Control Theory

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2
Q

Classic Control Theory:

Important Features and Methods

A
  • Use of Differential Equations to describe systems
  • Analysis of stability of closed loop systems based on open-loop, steady state sinusoidal input
  • Root-Locus Method
  • Frequency Response
  • Developed stable systems
  • Did not deal with multiple input/output systems
  • Primary focus on Linear Time Invariant, single input/output systems

Note: This list is NOT comprehensive

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3
Q

Modern Control Theory:

Important Features/Methods

Introduced

A
  • Analysis in Time Domain
  • Synthesis with State Variables
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4
Q

Basic Definitions:

Controlled Variable

A

The quantity or condition that is measured and controlled

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5
Q

Basic Definitions:

Control Signal

A

Also called the ‘Manipulated Value’

The quantity or condition that is varied by the controller to affect the value of the controlled variable.

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6
Q

Basic Definitions:

Control

A

The action of measuring the Controlled Variable, then applying the Control Signal to correct or limit deviation of the Controlled Variable from a desired value

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7
Q

Basic Definitions:

Plants

A

In the context of Control Systems,

a Plant is any physical object that is to be controlled.

A piece of equipment functioning to perform some operation.

Could be anything from a simple tool to a whole factory or power grid, or financial system.

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8
Q

Basic Definitions:

Process

A

Any operation that is to be controlled

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9
Q

Basic Definitions:

Systems

A

A combination of components that act together to achieve a certain objective.

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10
Q

Basic Definitions:

Disturbances

A

A signal that tends to adversely affect the value of the output of a system.

Two Types:

  • Internal
    • Generated from within the system
  • External
    • Generated from outside the system, treated as a kind of input
    • Examples: noise, kicking a robot
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11
Q

Basic Definitions:

Feedback Control

A

An operation that uses the output of a system to reduce the difference between output and some Reference Input.

Makes corrections.

This reduces the impact of Disturbances in the system.

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12
Q

Robust Control Theory:

Basic Idea

A
  • System models don’t perfectly reflect the actual, real world system
  • Robust Control Theory attempts to account for the difference by including an Uncertainty or Error Value estimate in the model
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13
Q

Robust Control Theory:

Estimating Uncertainty

Very basic Mathematical Approach

A

Assume G(s) is a perfect model of a system, and ~G(s) is a model with some uncertainty ∆(s)

The error can be related as either a

  • Multiplicative Factor
    • ~G(s) = G(s) [1 + ∆(s)]
  • Additive Factor
    • ~G(s) = G(s) + ∆(s)

Exact uncertainty is unknowable, so we use an upper bound estimate, W(s)

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14
Q

Feedback Control System:

Summary

A

A system that maintains a prescribed relationship between the output and the reference input,

by comparing them and using the difference as a means of control

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15
Q

Closed-Loop Control Systems:

Summary

A

Term is used interchangeably with Feedback Control System. The ‘Loop’ IS the feedback.

The Actuating Error Signal(the difference) is fed to the controller to reduce the error and bring the output of the system to a desired value.

“Closed Loop” always implies the use of feedback

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16
Q

Open-Loop Control Systems:

Summary

A

Systems in which the output has no effect on the control action.

Output is not fed back for comparison or even measured.

Accuracy of the system must depend on calibration and the system will not compensate for disturbances.

Note: Any system that operates with only time as the input is open-loop

17
Q

Compensation:

Definition

A

Modification of the system dynamics to satisfy given specifications.

This is done in three ways:

  • Adjusting Gain - primary method
  • Installing a Compensator device
  • Performing redesign/restructuring of the system
18
Q

Control System Design:

Three Approaches to Design and Analysis used in this book

A

Root-Locus Approach

Frequency Response Approach

State-Space Approach

19
Q

Control System Design:

Basic Considerations

A

Performance Specifications

System Compensation

Design Procedures

20
Q

Control System Design:

Major Performance Specifications/Requirements and some examples

A

Define what the system must do and under which performance constraints.

Requirements may be given as numeric values, or as more general qualitative statements

  • Transient Response Requirements
    • Maximum overshoot
    • Settling time in Step Response
  • Steady State Requirements
    • Steady State Error following Ramp Input
  • Frequency Response Requirements
    • Operating frequency range
    • Dealing with high/low frequency
21
Q

Control System Design:

Basic steps of designing a system

A
  • Set up a mathematical model, starting as simply as possible
  • Adjust parameters of a compensator
  • Construct prototype and test the open-loop system
  • If open-loop test goes well, close the loop and test the prototype
  • Repeat steps, adjusting parameters and design based on trials
  • Attempt to catch biggest issues early