Ch 1: Introduction to Control Systems Flashcards
Three Major
Theories
Classical Control Theory
Modern Control Theory
Robust Control Theory
Classic Control Theory:
Important Features and Methods
- 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
Modern Control Theory:
Important Features/Methods
Introduced
- Analysis in Time Domain
- Synthesis with State Variables
Basic Definitions:
Controlled Variable
The quantity or condition that is measured and controlled
Basic Definitions:
Control Signal
Also called the ‘Manipulated Value’
The quantity or condition that is varied by the controller to affect the value of the controlled variable.
Basic Definitions:
Control
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
Basic Definitions:
Plants
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.
Basic Definitions:
Process
Any operation that is to be controlled
Basic Definitions:
Systems
A combination of components that act together to achieve a certain objective.
Basic Definitions:
Disturbances
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
Basic Definitions:
Feedback Control
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.
Robust Control Theory:
Basic Idea
- 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
Robust Control Theory:
Estimating Uncertainty
Very basic Mathematical Approach
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)
Feedback Control System:
Summary
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
Closed-Loop Control Systems:
Summary
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