CHAPTER IV INPUT-OUTPUT MODELS AND TRANSFER FUNCTIONS

Slides:



Advertisements
Similar presentations
Dynamic Behavior of Closed-Loop Control Systems
Advertisements

LAPLACE TRANSFORMS.
Dynamic Behavior of Closed-Loop Control Systems
Distillation Modeling and Dynamics Distillation Part 2.
ERT 210 Process Control & dynamics
CHE 185 – PROCESS CONTROL AND DYNAMICS
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Chapter Summer 2. Comparator 3. Block Blocks in Series
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Dynamic Behavior and Stability of Closed-Loop Control Systems
Chapter 3 1 Laplace Transforms 1. Standard notation in dynamics and control (shorthand notation) 2. Converts mathematics to algebraic operations 3. Advantageous.
More General Transfer Function Models
Linear Systems The definition of a linear equation given in Chapter 1 can be extended to more variables; any equation of the form for real numbers.
4 Solving Equations 4.1 Simplifying Expressions and Combining Like Terms 4.2 Addition and Subtraction Properties of Equality 4.3 Multiplication and Division.
CHAPTER II PROCESS DYNAMICS AND MATHEMATICAL MODELING
CHAPTER III LAPLACE TRANSFORM
Properties and the Inverse of
Control Loop Interaction
Ch. 6 Single Variable Control
Transfer Functions Chapter 4
Chapter 2 Section 1 Copyright © 2011 Pearson Education, Inc.
DYNAMIC BEHAVIOR AND STABILITY OF CLOSED-LOOP CONTROL SYSTEMS
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: First-Order Second-Order N th -Order Computation of the Output Signal Transfer.
(e.g., deviation variables!)
Laplace Transforms 1. Standard notation in dynamics and control (shorthand notation) 2. Converts mathematics to algebraic operations 3. Advantageous for.
Prepared by Mrs. Azduwin Binti Khasri
Chapter 2 Laplace Transform 2.1 Introduction The Laplace transform method can be used for solving linear differential equations. Laplace transforms can.
Chapter 2 Mathematical Background Professor Shi-Shang Jang Chemical Engineering Department National Tsing-Hua University Taiwan March,
Interacting vs. Noninteracting Systems
Chapter 4. Modelling and Analysis for Process Control
Prof. Wahied Gharieb Ali Abdelaal CSE 502: Control Systems (1) Topic# 3 Representation and Sensitivity Analysis Faculty of Engineering Computer and Systems.
DYNAMIC BEHAVIOR OF PROCESSES :
Chapter 2 Modeling Approaches  Physical/chemical (fundamental, global) Model structure by theoretical analysis  Material/energy balances  Heat, mass,
Chapter 3 Dynamic Response The Block Diagram Block diagram is a graphical tool to visualize the model of a system and evaluate the mathematical relationships.
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Automatic Control Theory CSE 322
CHAPTER VI BLOCK DIAGRAMS AND LINEARIZATION
Chapter 7 Steady State Error <<<4.1>>>
ERT 210/4 Process Control & Dynamics DYNAMIC BEHAVIOR OF PROCESSES :
Topics 1 Specific topics to be covered are: Discrete-time signals Z-transforms Sampling and reconstruction Aliasing and anti-aliasing filters Sampled-data.
TRANSFER FUNCTION Prepared by Mrs. AZDUWIN KHASRI.
Lecture 4: The z-Transform 1. The z-transform The z-transform is used in sampled data systems just as the Laplace transform is used in continuous-time.
Dr. Tamer Samy Gaafar Lec. 2 Transfer Functions & Block Diagrams.
Lecture 2: Mathematical Modeling Copyright © Thomas Marlin 2013 The copyright holder provides a royalty-free license for use of this material at non-profit.
1 Chapter 6 Time Delays Time delays occur due to: 1.Fluid flow in a pipe 2.Transport of solid material (e.g., conveyor belt) 3.Chemical analysis -Sampling.
Chapter 11 1 ERT 210/4 Process Control CHAPTER 11 DYNAMIC BEHAVIOR AND STABILITY OF CLOSED-LOOP CONTROL SYSTEMS.
DYNAMIC BEHAVIOR OF PROCESSES :
Section 6.2 Solving Linear Equations Math in Our World.
ETEC 4501 Chapter 4 Laplace Transforms and Transfer Functions.
EE4262: Digital and Non-Linear Control
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Automatic Control Theory CSE 322
Laplace Transforms Chapter 3 Standard notation in dynamics and control
CHAPTER III LAPLACE TRANSFORM
Transfer Functions Chapter 4
Automatic Control Theory CSE 322
CHAPTER IV INPUT-OUTPUT MODELS AND TRANSFER FUNCTIONS
CHAPTER VI BLOCK DIAGRAMS AND LINEARIZATION
Chapter 2 Section 2.
Time Delays Chapter 6 Time delays occur due to: Fluid flow in a pipe
G1 and G2 are transfer functions and independent of the
Important Properties of Laplace Transforms
§1—2 State-Variable Description The concept of state
Interacting vs. Noninteracting Systems
Solving Equations Using Multiplication and Division
Chapter 3 Modeling in the Time Domain
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
G1 and G2 are transfer functions and independent of the
Presentation transcript:

CHAPTER IV INPUT-OUTPUT MODELS AND TRANSFER FUNCTIONS Process Control CHAPTER IV INPUT-OUTPUT MODELS AND TRANSFER FUNCTIONS

“We need a method for “compressing” the model” Transfer Functions Control systems are based on a single output and a few input variables. For this reason solution of model equation for all input variables is usually not required. “We need a method for “compressing” the model” For linear dynamic models used in process control, it’s possible to eliminate intermediate variables analytically to yield an input-output model.

The Transfer Function, is an algebraic expression for the dynamic relation between a selected input and output of the process model. A transfer function can only be derived only for a linear differential equation model because Laplace transforms can be applied only to linear equations.

The transfer function is a model, based on, Laplace transform of output variable y(t), divided by the Laplace transform of the input variable with all initial conditions being equal to zero.

The assumptions of y(0)=0 and x(0)=0 are easy to be achieved by expressing the variables in the transfer function as deviations from the initial conditions. Thus all transfer functions involve variables that are expressed as deviations from an initial steady state. Deviation variables; difference between variables and their steady state values.

Example: In the mixing tank system the following function was obtained. Evaluate the transfer function. q,Ci q,C

Consider the blending system with two input units. Example: Consider the blending system with two input units. Output:x Inputs:x1,x2,w1,w2 One input-one output ?

Assumptions: Both feed and output compositions are dilute (x1<x < <1) Feed flow rate w1 is constant ( ) Stream 2 is pure material A, x2=1 Process is initially at steady-state, Since x1 and x are very small, required flow rate of pure component w2 will be also small. w1=w=constant

In the definition of transfer function it was indicated that input and output variables should be zero at the initial conditions. In this example, the variables have initial steady state values different than zero. In order to define deviation variables we should subtract steady state equation from the general equation. at steady state;

Subtracting steady state equation from general equation gives; dividing both sides with gives defining the deviation variables;

: Time Constant It is an indication of the speed of response of the process. Large values of τ mean a slow process response, whereas small values of τ mean a fast response. K : Steady-state gain The transfer function which relates change in input to change of output at steady state conditions. The steady state gain can be evaluated by setting s to zero in the transfer function.

In transfer functions there can be a single output and a single output In transfer functions there can be a single output and a single output. However, in this equation there exists two inputs.

Properties of Transfer Functions By using transfer functions the steady state output change for a change in input can be calculated directly. (i.e., simply setting s→0 in transfer function gives the steady state gain. In any transfer function order of the denominator polynomial is the same as the order of the equivalent differential equation. st.st. gain is obtained by setting s to zero, therefore b0/a0

Transfer functions have additive property. U3(s) U1(s) G1(s) Y(s) U2(s) G2(s) U4(s)

X1(s) G1(s) X3 (s) X0(s) G2(s) X2(s)

Transfer functions also have “multiplicative property”. Y2(s) Y1(s) G1(s) G2(s) U(s) ! Always from right to left

qi R h q A

Example: Consider two liquid surge tanks that are placed in series so that the output from the first tank is an input to the second tank. If the outlet flow rate from each tank is linearly related to the height of the liquid (head) in that tank, find the transfer function relating changes in flow rate from the second tank to changes in flow rate into the first tank. qi R1 h1 q1 A1 R2 h2 q2 A2

for tank 1 in order to convert variables into deviation variable form, steady state equations for eqn 1 and 2 should be written; subtracting st.st. equations from general equation gives; where

these two transfer functions give information about; taking Laplace transform of eqns 1 and 2 gives; these two transfer functions give information about; input:Qi, output;H1 and input:H1, output:Q1 however, relationship between Q2 and Qi is required

for tank 2 required ;

for interacting systems; qi R1 R2 h1 h2 q2 q1 A2 A1

at st.st. deviation variables

taking the Laplace transform of the equations;