Real-Time Optimization for Large Scale Nonlinear Processes

Diehl, Moritz

German Title: Echtzeitoptimierung grosser nichtlinearer Prozesse

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URN: urn:nbn:de:bsz:16-opus-16592
URL: http://www.ub.uni-heidelberg.de/archiv/1659
DOI: 10.11588/heidok.00001659

Translation of abstract (English)

Efficient numerical methods for the real-time solution of optimal control problems arising in nonlinear model predictive control (NMPC) are presented, and their contraction properties are investigated theoretically. The practical applicability of the methods is demonstrated in an experimental application to a real distillation column, involving the real-time optimization of a differential algebraic process model with more than 200 states, with sampling times of only a few seconds. In a numerical experiment, the periodic control of an unstable system, an airborne kite that is flying loopings, is investigated. The algorithm shows excellent robustness and real-time performance for both challenging on-line optimization examples.

Item Type:	Dissertation
Supervisor:	Bock, Prof. Dr. Hans Georg
Date of thesis defense:	25 June 2001
Date Deposited:	19 Jul 2001 00:00
Date:	2001
Faculties / Institutes:	The Faculty of Mathematics and Computer Science > Department of Applied Mathematics
Subjects:	510 Mathematics
Controlled Keywords:	xxx
Uncontrolled Keywords:	Real-Time Optimization , Nonlinear Model Predictive Control , Newton Type Methods , Distillation , Differential Algebraic Equations