KP8115 VG Prosessregulering (Ph.D. course) ADVANCED PROCESS CONTROL Lecturer: Sigurd Skogestad There are two options for this course: OPTION 1 for students who perviously did NOT take the MS-module TKP10 "Advanced process control": The Ph.D. course and the 5th year Master specilization ("emnemodul") have an initial common part, and the PhD course has in addition is a self-study based on Ch. 1-6 im the book "Multivariable Feedback control" by Skogestad and Postelethwaite, There is a separate examaniation for each part which count 50% each. OPTION 2 for students who previously took the MS-module TKP10 "Advanced process control": Self-study based on the Ch. 1-12 in the book "Multivariable Feedback control" by Skogestad and Postelethwaite plus a larger project. Note: In can be useful to help in the self-study to follow Morten Hovd's Master course on "dvanced Control of Industrial Processes" which is given each year in the spring semester. https://www.ntnu.edu/studies/courses/TTK4210 ----------------- FROM NTNU COURSE DESCRIPTION 2018 -------------------------------------- KP8115 - Advanced Process Control Credits: 7.5 SP Study level: Doctoral degree level Oral examination 100/100 Course content The course is given every year. The course is partly taught together with the 5th year specialization module, but the PhD course has an additional part based on the book "Multivariable feedback control", which includes controllability analysis. Student who have previously taken the 5th year specialization module will get an additional project. 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 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. Learning methods and activities Lectures, exercises and self study. The course will be taught in English if there are english-speaking students. Compulsory assignments Exercises Specific conditions Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department. Recommended previous knowledge Basic knowledge of control systems equivalent to a course of 7.5 credits. Course materials Selected journal papers and excerpts from the book "Multivariable feedback control" av Skogestad og Postlethwaite (2005). ----------------- END FROM NTNU COURSE DESCRIPTION 2018 -------------------------------------- ------------------------- DETAILS ON OPTION 1 from 2015 -------------------------------------- 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" (this is not really a project, more like a required matlab exercise) 06 Jan (14-16): Q&A 08 Jan: Exam (oral) ------------------------- END DETAILS ON OPTION 1 from 2015 --------------------------------------