Plantwide/advanced control shortcourse.
DAY 1.
 1. Overview of plantwide control

 2. Selection of controlled variables based on economic : The link 
 between the optimization (RTO) and the control (MPC; PID) layers

- Degrees of freedom
- Optimization
- Many examples

VG.exercise 1: Blending-Optimization with quadprog
VG-exercise 2: Blending example loss, 
VG-exercise 3: RGA + PID-Simulation with 1 tank
VG-exercise 4: Simulation with 5 tanks and MPC

 
 DAY 2
 3. Design of the stabilizing control layer ("what more should we 
 control") .
 4. Design of supervisory control layer (Decentralized control or MPC?)
 5. Where to set the production rate (DAY1)
 
 DAY 3 (tuning)
 1. Tuning SISO PID loops
       - tight tuning (IMC rules; effective delay, Skogestad half rule)
       - smooth tuning (and link to default settings)
       - Matlab exercises
 2. Tuning of cascade controllers
 3. Design of decentralized controllers: Sequential and independent design
 
 DAY 4 (multivariable systems)
 1. RGA analysis
 2. Pairing
 3. Singular value decomposition
 4. RHP-zeros
 
 DAY 5 (controllability analysis)
 1. SISO
    pH example - benefits of feedback
    slugging example - instability combined with RHP-zeros
 2. MIMO


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I have a 112 slide "plantwide control" talk that needs to be divided into parts

0. Introduction to plantwide control


1. PID tuning, incl. cascade control and simple loops. Intro to controllability - CONTROL2

    With exercises where the students propose tunings and I simulate the results with Simulink


Follow book more closely

2. Optimal operation and control (1 h) 

3. Selection of controlled variables for optimal operation (1 day)

   - Alternative methods
   - Examples

3b. Set production rate and bottleneck  
   - This is related to actice constraint control

4. regulatory control layer
	- stabilization
	- what more to control
	- cascade and time scale separation

5. Advanced/supervisory control (MPC)
This is where one normally apply multivariable control, so can go back to Chapter 3
- MIMO transfer functions
- Directions is MIMO systems. SVD
- RGA
- RHP-zeros

- Then to ch. 10 on decentrlized control
- Examples
- Pairing  rules
- Example


- Then back to multivariable control