Course: Advanced process control (TKP10, KP8115)
Main topic: PLANTWIDE PROCESS CONTROL
For overview of the course: see at the end

Lectures: in K4-211. Mondays 13-15


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NEWS:

10 Oct. 2011

What we have done the last few weeks:
26.09.2011: PID tuning (plantwide6_tuning)
03.10.2011: Stabilizing layer (plantwide4_regulatory+distillation)
10.10.2011: Advanced/supervisory control. MPC (plantwide5, plantwide5b)

Plans:

11.10.2011: 1300: Krister Forsman, Perstorp (with pizza)
11.10.2011: 14-16: Mehdi Panahi on MPC using Unisim (exercise 6)

17.10.2011: No lecture, deadline exercise 6
24.10.2011: Decentralized control lecture (plantwide7), final lecture.


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19 Sep. 2011

Today we went through the remaining part of plantwide2-cv1-selection (active constraints) 
+ we went through plantwide3-tpm-location (see the Aske paper for more details).

You can now start Exercise 3 on consistency of inventory control. 
The deadline is Monday 26 September (I hope this is OK because we got a bit delayed with Exercise 2).

The solution for Exercise 1 (Problems 1 and 2) is now available. 


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06 Sep. 2011

This week: Please do exercise 1, part 2 (it has been updated). Deadline: Monday 12 Sep)

Next week (Monday 12 Sep. 13-15): Introduction to use of Unisim/Hysys by Mehdi (Exercise 2)


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05 Sep 2011

We had the second lecture today (Monday 13-16).
I covered up to slide 60 in plantwide2-cv1-selection-soc.ppt (that is, everything except active constraints + some case studies). 
I also derived the "exact local method" on the board. For details see: 
plantwide2-exact-local-method_lecture-notes.pdf

Summary of main topic:
Let y be the available measurements, including the inputs (MVs).  The CVs are 
   c = H y 
and the issue is to find the non-square matrix H.
H could be a selection matrix (if we control individual y's) or a combination matrix. 
What should c=Hy be?
  1. Control active constraints (important to reduce back-off for these)
  2. Control "self-optimnizing" variables with small loss when there are disturbances.
	- maximum gain rule (maximize gain from u to c)
	- optimal combination: 1. Nullspace method HF=0 , 2. Exact local method



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22 Aug. 2011

We had the first lecture today. I covered up to slide 35 in plantwide1-intro+optimal-operation.ppt (up to the HDA example).
We will continue the lectures on 05 or 06 September.

In the meantime:

1. Start reading the three papers that begin with plantwide (from 2000, 2004 and 2011)

2. Do Exercise 1 (but on Problem 2 you only need to do
part 2-1 now). Please send the solution to Mehdi by Thursday 01 September.
For questions/help for the exercises, ask Johannes (for Problem 1) and Mehdi (for Problem 2).


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16 Aug. 2011


The first lecture and information meeting will be 

Monday 22 August at 1315-1500 in room K4-205.

There will be an introduction and we will discuss time and place for the rest of the term. 

You can start with Exercise 1 NOW (Problem 1). It gives you a good introduction!
Questions:  Mehdi Panahi  (sits in K4-212

More information: http://www.nt.ntnu.no/users/skoge/vgprosessregulering/

Note: The initial lectures are combined for the "emnemodul" TKP8 and the "PhD course" KP8115. 
Do not hesitate to ask or send emails!
Welcome to the course!

-Sigurd


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Course overview:
PLANTWIDE PROCESS CONTROL

This is a module (half a normal course) offered to the 5th year students at NTNU. 
It is taught every autumn, starting in late August.

Topics:
1. Optimal operation (economics) and degrees of freedom
2. What should we control from an economic point of view? (including self-optimizing control)
3. Inventory control, including location of throughput manipulator
4. Base layer control (regulatory layer; stabilizing control)
5. Tuning of PID controllers
6. Multivariable control: Interactions, decentralized control, practical use of MPC


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BASIC INFO:

The lectures form the basis for two courses:

1. TKP10  Process Control, Advanced Course. Master specialization module  (3.75 EDU; must be taken together with another 3.75 EDU module to get full course)

2. KP8115 Advanced process control. PhD course (7.5 ECU)

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1. TKP10  Process Control, Advanced Course (before 2009: TKP8 = TTK18) 

TKP10 PROSESSREGULERING VK 
Prosessregulering, videregående kurs 
Process Control, Advanced Course 
Lecturer: Professor Sigurd Skogestad 
Credits: 3.75 Sp
Time: According to agreement
Examination aids: D Exercises: marks 
Learning outcome : The student should be able to design plantwide control system 
Content: Control structure design for complere chemical plants. 
Selection of controlled variables (self-optimizing control). 
Consistent inventory Control. 
Regulatory control. 
Tuning of PID controllers. 
Multivariable control. 
Decentralized control. 
RGA. Introduction to MPC. Use of dynamic simulators. 
Teaching activities: Lectures, computer simulation. exercises. 
Course material: Copies from scientific papers and books including Chapter 10 in Skoegstad and Postlethwaite, "Multivariable Feedback Control, Wiley, 2010
Exam: Oral


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2. Ph.D. course KP 8115 - Advanced process control (7.5 ECU)
Lecturer: Sigurd Skogestad 

The Ph.D. course and the 5th year Master specilization ("emnemodul") have
an initial common part, but the Ph.D. course has additional topics and
a larger emphasis on theory.

http://www.nt.ntnu.no/users/skoge/vgprosessregulering