155: 422               Process Simulation and Control                 Spring  2007

 

Web page:    http://sol.rutgers.edu/staff/marianth/CHEME_422.html

Lectures:     Mon, Wed 3:20-4:40pm, SEC 203

Instructor: Marianthi G. Ierapetritou

          Engineering C-137

Busch Campus

Tel: (732) 445-2971, email: marianth@sol.rutgers.edu

Teaching Assistant:         Zukui Li Office hours: TBA

                                        Email: zukui@eden.rutgers.edu

                                        Office Rm #: C156

Course Description: The course is an introductory presentation of the basic fundamental principles of automatic control of processes of general interest to chemical engineers.  Elements of mathematical simulation of process dynamics for open-and-closed loop operations are presented for both linear and non-linear systems.  Concepts of feedback, feedforward, and cascade control of processes using popular control algorithms are covered, including aspects of stability, controller tuning, and safety.

Course Objectives:         

Equip the student with necessary fundamental control theory tools in order to answer the following questions:

o      Why is automated control necessary and how is it done?

o      What is the difference between “open” and “closed” loop system dynamics?

o      What are the elements of a “closed-loop” automated control system?

o      When, where, and why does a closed loop automated control system become unstable and how can a control engineer correct instability?

Textbooks:       

Process Dynamics and Control, 2nd Edition

By Dale E. Seborg, Thomas F. Edgar, and Duncan A. Mellichamp

Published by John Wiley & Sons, 2004.

Software:

Matlab/Simulink: This is an interactive environment for system simulation and design. Utilizing a block diagram interface, it can be used to model, simulate, and analyze multidomain systems for process control and understand system dynamics. It is installed on all PCs in the Microcomputer Lab (room C233).

Class Participation:

To improve class participation, students with most presence in the class will get up to 10 points extra in their final grade.

Assessment: Homework: 20%, Exams: 50%, Control Project: 30%

Course Context:

Week

Date

Topic

Chapter

1

Jan. 22

Course Organization-Introduction to Process Control

1

 

Jan. 24

Introduction to Process Dynamics and Simulations

2

2

Jan. 29

Introduction to Process Dynamics and Simulations (Simulink)

2

 

Jan. 31

Laplace Transforms

3

3

Feb. 5

Laplace Transforms

3

 

Feb. 7

Transfer Functions and State space Models

4

4

Feb. 12

Transfer Functions and State space Models

4

 

Feb. 14

Dynamic Response of First and Second Order Systems

5

5

Feb. 19

Dynamic Response of More complicated Processes

6

 

Feb. 21

First Exam

 

6

Feb. 26

Feedback Controllers

8

 

Feb. 28

Control System Instrumentation (Invited Speaker)

9

7

Mar. 5

Control System Design

10

 

Mar. 7

Closed Loop Control Systems

11

8

Mar. 12-14

Happy Spring Break

 

 

9

Mar. 19

First Round of presentations on the project-intermediate reports due

 

 

Mar. 21

PID Controller Design (Invited Speaker)

12

10

Mar. 26

Frequency Response Analysis

13

 

Mar. 28

Frequency Response Analysis – Control Design

14

11

Apr. 2

Feedforward Control

15

 

Apr. 4

Second Exam

 

12

Apr. 9

Multi-loop and Multivariable Control

18

 

Apr. 11

Multi-loop and Multivariable Control

18

13

Apr. 16

Real Time Optimization (Invited Speaker)

 

 

Apr. 18

Model Predictive Control

20

14

Apr. 23

Model Predictive Control

20

 

Apr. 25

Plant Wide Control

23

15

Apr. 30

Control Project Presentations 

 

 

May 2

Control Project Reports Due

 

 


ABET Outcomes and Assessment:

Program Outcomes (what we expect our graduating senior to achieve)

(a)   an ability to apply knowledge of mathematics, science and engineering

(b)  an ability to design and conduct experiments, as well as to analyze and interpret data

(c)   an ability to design a system, component, or process to meet desired needs

(d)  an ability to function in multi-disciplinary/multi-functional teams (this can be defined as a mix of biochemical and chemical engineers, or as a group of students working on a different roles of a project)

(e)  an ability to identify, formulate, and solve engineering problems

(f)   an understanding of professional and ethical responsibility

(g)  an ability to communicate effectively

(h)  the broad education necessary to understand the impact of engineering solutions in a global and societal context

(i)    a recognition of the need for, and an ability to engage in life-long learning

(j)   a knowledge of contemporary issues

(k)  an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

 

Mapping of content in program core curriculum to program outcomes. Highlighted entries represent the highest weighted assessment points

 

Outcome

Course

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)

(j)

(k)

155:201

ü

 

ü

 

ü

ü

ü

 

ü

 

ü

:208

ü

 

 

 

ü

 

 

 

 

 

ü

:303

ü

ü

 

ü

ü

ü

 

 

 

 

ü

:304

ü

ü

 

ü

ü

ü

 

 

 

 

ü

:307

ü

ü

 

 

ü

ü

 

 

ü

 

ü

:324

ü

ü

ü

ü

ü

 

ü

 

ü

 

ü

440:407

ü

 

 

 

ü

 

 

 

ü

ü

 

155:409

ü

 

 

 

ü

ü

 

 

 

 

ü

:411

ü

 

ü

 

ü

 

 

 

 

 

ü

:415

ü

ü

 

ü

 

 

ü

ü

 

 

ü

:416

ü

ü

 

ü

 

 

ü

ü

 

 

ü

:422

ü

 

 

 

ü

 

ü

 

 

 

ü

:427

ü

 

ü

ü

ü

ü

ü

ü

ü

ü

ü

:428

ü

 

ü

ü

ü

ü

ü

ü

ü

ü

ü

:441

ü

ü

ü

 

ü

 

 

 

 

 

ü

:491,492

 

 

 

 

 

 

 

 

ü

 

 

societies

 

 

 

 

 

 

ü

 

ü

ü

 

Societies: student professional organizations include AIChE, ISPE, SWE, OXE

Outcome (a): an ability to apply knowledge of mathematics, science and engineering

(1)   Assessment test: 1st day of class – same test at the time of the first exam (after the basics have been revisited).

(2)  Exams – Homeworks : Most of the problems test the ability to apply knowledge of mathematics, science and engineering in problem solving

Outcome (e): an ability to identify, formulate, and solve engineering problems

Course projects: The project will require the formulation of the problem described, identification of the main challenges, investigation of multiple solution approaches, report of the alternatives.

Outcome (g): an ability to communicate effectively

The project will involve intermediate and final written and oral report. At the intermediate stage feedback will be given from (a) class evaluations (b) instructor evaluations

Outcome (k): an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

Homework assignments and the project will require the use of Simulink as software to perform dynamic simulations and control. The evaluation of the use of this tool will be tabulated for the whole class and additional sessions will be scheduled as appropriate.