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Dynamic Behavior of Ideal Systems

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As the aggressiveness of the controller is increased, the response will become underdamped. Determining the Parameters of a 2nd Order System from its Gp(s) ... – PowerPoint PPT presentation

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Title: Dynamic Behavior of Ideal Systems


1
Chapter 5
  • Dynamic Behavior of Ideal Systems

2
Ideal Dynamic Behavior
  • Idealized dynamic behavior can be effectively
    used to qualitatively describe the behavior of
    industrial processes.
  • Certain aspects of second order dynamics (e.g.,
    decay ratio, settling time) are used as criteria
    for tuning feedback control loops.
  • This material is not, in general, directly
    applied to industrial control.

3
Inputs
4
First Order Process
  • Differential equation
  • Transfer function
  • Note that gain and time constant define the
    behavior of a first order process.

5
First Order Process
6
Determine the Process Gain and Process Time
Constant from Gp(s)
7
Estimate of First-Order Model from Process
Response
8
Second Order Process
  • Differential equation
  • Transfer function
  • Note that the gain, time constant, and the
    damping factor define the dynamic behavior of 2nd
    order process.

9
Underdamped vs Overdamped
10
Effect of z on Underdamped Response
11
Effect of z on Overdamped Response
12
Characteristics of an Underdamped Response
  • Rise time
  • Overshoot (B)
  • Decay ratio (C/B)
  • Settling or response time
  • Period (T)

13
Example of a 2nd Order Process
  • The closed loop performance of a process with a
    PI controller can behave as a second order
    process.
  • When the aggressiveness of the controller is very
    low, the response will be overdamped.
  • As the aggressiveness of the controller is
    increased, the response will become underdamped.

14
Determining the Parameters of a 2nd Order System
from its Gp(s)
15
Second-Order Model Parameters from Process
Response
16
High Order Processes
  • The larger n, the more sluggish the process
    response (i.e., the larger the effective
    deadtime)
  • Transfer function

17
Example of Overdamped Process
  • Distillation columns are made-up of a large
    number of trays stacked on top of each other.
  • The order of the process is approximately equal
    to the number of trays in the column

18
Integrating Processes
  • In flow and out flow are set independent of level
  • Non-self-regulating process
  • Example Level in a tank.
  • Transfer function

19
Deadtime
  • Transport delay from reactor to analyzer
  • Transfer function

20
FOPDT Model
  • High order processes are well represented by
    FOPDT models. As a result, FOPDT models do a
    better job of approximating industrial processes
    than other idealized dynamic models.

21
Determining FOPDT Parameters
  • Determine time to one-third of total change and
    time to two-thirds of total change after an input
    change.
  • FOPDT parameters

22
Determination of t1/3 and t2/3
23
Inverse Acting Processes
  • Results from competing factors.
  • Example Thermometer
  • Example of two first order factors

24
Lead-Lag Element
25
Recycle Processes
  • Recycle processes recycle mass and/or energy.
  • Recycle results in larger time constants and
    larger process gains.
  • Recycles (process integration) are used more
    today in order to improve the economics of
    process designs.

26
Mass Recycle Example
27
Overview
  • It is important to understand terms such as
  • Overdamped and underdamped response
  • Decay ratio and settling time
  • Rectangular pulse and ramp input
  • FOPDT model
  • Inverse acting process
  • Lead-Lag element
  • Process integration and recycle processes
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