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  4. Modellbasierte optimale Mehrgrößenregelung eines aufgeladenen Dieselmotors mittels Methoden der nichtlinearen Optimierung
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-00104021-10

Modellbasierte optimale Mehrgrößenregelung eines aufgeladenen Dieselmotors mittels Methoden der nichtlinearen Optimierung

Veröffentlichungsdatum
2014-10-02
Autoren
Echim, Mitja  
Betreuer
Büskens, Christof  
Gutachter
Bohn, Christian  
Zusammenfassung
Considering the increasingly restrictive emission standards for diesel engines, the automotive industry is in need of innovative ideas and solutions for engine control problems. This work addresses the challenge of determining optimal controllers for multiple, mutually dependent actuators in the engine gas system. The problem is posed as a parameter identification problem for a system of ordinary differential equations that model the gas system against measurements of an actual engine. The standard approach is to apply an NLP solver to a shooting technique, however this gives rise to several local minima when applied to large data sets. An alternative approach is studied, which performs the integration of the discretised ode system within the optimisation. The resulting high-dimensional optimisation problem is solved by a sparse NLP solver. Based on the nonlinear dynamic model a linear-quadratic regulator is designed and validated with a rapid prototyping system on a test vehicle.
Schlagwörter
Nonlinear Parameteridentification

; 

LQ-Control

; 

Optimal Control

; 

Modelbased Control

; 

Multivariable Feedback Control

; 

Turbocharged Diesel Engine

; 

Dynamic Modelling
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Sprache
Deutsch
Dateien
Lade...
Vorschaubild
Name

00104021-1.pdf

Size

5.09 MB

Format

Adobe PDF

Checksum

(MD5):2f46ec2b345d16ea65c53df64b8eb1fe

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