KP8115 VG Prosessregulering (Ph.D.emne)
       ADVANCED PROCESS CONTROL 

-------------------------------------  2015 schedule for last part ------------------------------------

19 Nov (13-15): Discuss Ch.1-3 + Appendix
26 Nov (14-16): Ch.4 + Ch. 10
10 Dec. (14-16): Ch. 5+6
22 dec:  Deadline "project"
06 Jan (14-16): Q&A 
08 Jan: Exam (oral)


-------------------------------------  end 2015 schedule ------------------------------------


KP8115 ADVANCED PROCESS CONTROL (Ph.D. couse)
Content
The course is given every year. 
The course consists of four parts: Part 1: Plantwide control with emphasis on the structural decision: what to control, measure and pairing. 
Part 2: Tuning, structure and monitoring of the base control layer. Part 3: Multivariable control, including model based predictive control (MPC). 
Part 4: Controllability analysis of multivariable systems. 

Learning outcome
- 

Learning methods and activities
The course will be taught in English if there are english-speaking students. 

Compulsory assignments
Exercises 

Recommended previous knowledge
Basic knowledge of control systems equivalent to a course of 7.5 credits. 

Required previous knowledge
- 
Course materials
Selected journal papers and excerpts from the book "Multivariable feedback control" av Skogestad og Postlethwaite (2005). 
For students who have already taken master course: Ch. 1-12 (+ robust control project)
For others: Ch. 1-6 + Ch. 10 (+ smaller project; see separate info)



The course consists of four parts: Part 1: Plantwide control with emphasis on the structural decision: what to control, measure and pairing.
Part 2: Tuning, structure and monotoring of the base control layer. Part 3: Multivariable control, including model based predictive control (MPC). 
Part 4: Controllability analysis of multivariable systems.  


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Engelsk:
Knowledge:
The students should know about systematic methods for design of plantwide control systems with emphasis on the structural decision: What to control and measure and how to pair the variables? The knowledge includes structure, controller design and supervision of the various layers, including the stabilizing base layer, the supervisory multivariable layer and the optimization layer. The students should have knowledge about controllability analysis of multivariable systems. 


Skills:
The students can design a control structure for the entire plant based on systematic methods and can simulate alternative strategies. They can perform a controllability analysis of the plant in order to find the parts where controller design needs particular attention

General competence:
The students have a background in the area of plantwide control that make them able to assess and understand existing and emerging results and theories within the field as a background for further research.