Control Systems: Closed-Loop & Open-Loop, Block Diagrams, and PID Controllers - Prof. Amy , Study notes of Aerospace Engineering

A set of lecture notes from a control systems engineering course. It covers the concepts of closed-loop and open-loop systems, block diagrams, and the design of pid controllers. The notes include diagrams, explanations, and examples to help students understand these topics.

Typology: Study notes

2011/2012

Uploaded on 03/30/2012

matt-fuqua
matt-fuqua 🇺🇸

5

(1)

21 documents

1 / 28

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
AE-3515
Lecture Notes
09 Mar 2012
1
Friday, March 9, 12
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c

Partial preview of the text

Download Control Systems: Closed-Loop & Open-Loop, Block Diagrams, and PID Controllers - Prof. Amy and more Study notes Aerospace Engineering in PDF only on Docsity!

AE-

Lecture Notes

09 Mar 2012 1

Overview

Closed-loop / open-loop

Block diagrams

Feedback

P, I, D controllers

PID design 2

Closed-loop Systems

4

Add feedback to ‘close the loop’

Can compensate for disturbances

Greater accuracy but more complex Section 1.

Block Diagram Algebra

  • Blocks in series:Blocks in parallel with their outputs added: 1 2 1 2 GG U ( s ) Y (s ) = € Y ( s ) U ( s ) = G 1
  • G 2 5 Section 5. Can reduce complex systems into single transfer functions!

Negative Feedback

Ge(s) is closed- loop transfer function

G(s)H(s) is the open-loop transfer function 7 Section 5.

Example:

8 Reduces to: Section 5.

Unity Feedback

The closed-loop transfer function becomes:

Notice that the characteristic equation for the above system becomes:

The controller has an effect on the system’s poles 10 ( ) ( ) 1 + Gc(s)Gp(s) = 0 Section 5.

P, I, D Controllers

Proportional controllers

  • pure gain or attenuation

Integral controllers

  • integrate error

Derivative controllers

  • differentiate error 11 Chapter 9

Integral Controller

Integral of error with a constant gain

Increase system type by 1

  • Infinity steady-state gain
  • Eliminate steady-state error for a unit step input u=Ki ∫edt 13

Derivative Control

Differentiation of error with a constant gain

Reduce overshoot and oscillation

Do not affect steady-state response

Sensitive to noise u=Kd de/dt t 14

PID Controller

PI controller

PD controller

PID controller 16

PID Controller

17

P Controller

Increase in gain

  • upgrade both steady-state and transient responses
  • reduce steady-state error
  • reduce stability! 19

P Controller

20