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Process Dynamics and Control CH EN 436 Dr. John Hedengren
13

Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Apr 02, 2020

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Page 1: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Process Dynamics and ControlCH EN 436

Dr. John Hedengren

Page 2: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Schedule• Course Web-Site

• Course Group Projects• Project 1: Arduino Temperature Control

• Project 2: Simulation Lab

• Teaching Method: Think, Pair, Share

http://apmonitor.com/che436

Page 3: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Process Dynamics and Control

3

Courtesy MosaicATM0

510

15

1.9

1.95

2

1

2

3

4

5

6

7

Log(V

irus)

HIV Virus Simulation

time (years)Log(kr

1)

1.828

2.364

2.899

3.435

3.970

4.506

5.041

5.576

6.112

6.647

Page 4: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Dynamics and Control

• Dynamic Modeling• Empirical Modeling

• Graphical Approach

• Optimization Approach

• Fundamental Modeling

• Controller Design• PID

• Model Predictive Control

• Example: Maintain Speed of Automobile

4

Input(Gas Pedal)

Output(Speed)

SystemInput Output

Page 5: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Dynamic ModelingInput(Gas Pedal)

Output(Speed)

Page 6: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Automobile Speed Modeling

• Dynamic Modeling• Gain (Kp)

• Time Constant (tp)

• Apparent Dead Time (qp)

6

Input(Gas Pedal)

Output(Speed)

𝐾𝑝𝜏𝑝𝑠 + 1

𝑒−𝜃𝑝𝑠Input = U(s) Output = X(s)

)( ppp tuKxt

xqt

First Order Plus Dead-Time (FOPDT)

Page 7: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Dynamic Modeling from Fundamentals

• v = 50 m/s – Desired Velocity

• m = 500 kg (mass)

• b = 50 N-s/m (resistive coefficient)

• Kp = 0.5 m/s / (% gas pedal)

• u = ? (% gas pedal)

• Time delay = 0.5 seconds

Force Balance

)( ppp tuKxt

xqt

Input(Gas Pedal)

Output(Speed)

)5.0(

tuKv

t

v

b

mp

FOPDT Model

Page 8: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Automobile Speed Control

• Controller Design

8

Input(Gas Pedal)

Output(Speed)

time-dead Process

constant timeProcess

Gain Process

p

p

pK

q

t

constant timeDerivative

constant timeIntegral

Gain Controller

D

I

CK

t

t

FOPDT Dynamic Model PID Controller

Page 9: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Intermountain Power Project (IPP)

Process Control Example

Page 10: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

IPP

• Two 975 MW boilers• 1 million lbs/hr of coal in each boiler

• 10-15% ash

• Tight control of NOx, SOx, particulate

• Majority of ash sold for use in concrete

• AC power converted to DC

• All power shipped to LA and re-inverted to AC power

Page 11: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Old Control Room New Control Room

Page 12: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Suppose the demand for electricity decreases at 11 pm….

• What must be changed to lower the electrical output?

Page 13: Process Dynamics and Control - APMonitorapmonitor.com/che436/uploads/Main/Lecture1.pdfDynamics and Control •Dynamic Modeling •Empirical Modeling •Graphical Approach •Optimization

Assignment

• Reading (see Class Schedule)

• Fill Out Info Sheet, Q1.1 (PPC)• http://apmonitor.com/che436/index.php/Main/InfoSheet

• Write objective / course competency met

• Note examples of controllers around you• See YouTube video in Lecture 1

• Try MATLAB / Simulink Exercise

• Dean’s Lectures• 2 required to avoid ½ grade penalty (B+ to B)