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  4. Online-Optimierung in der Mehrsystemdynamik unter einer erweiterten Klasse von Nebenbedingungen : Optimale Bahnplanung eines deckengeführten Bediensystems in der Hochregallagertechnik
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-00102662-14

Online-Optimierung in der Mehrsystemdynamik unter einer erweiterten Klasse von Nebenbedingungen : Optimale Bahnplanung eines deckengeführten Bediensystems in der Hochregallagertechnik

Veröffentlichungsdatum
2012-05-18
Autoren
Stach, Ramona  
Betreuer
Büskens, Christof  
Gutachter
Gerdts, Matthias  
Zusammenfassung
In order to facilitate a new concept for a high rack warehouses with ceiling rooted storage systems, reference trajectories have to be provided to ensure a controlled swing of the crane system and a steady state at the final point. These trajectories are obtained solving optimal control problems. Due to safety reasons alternative trajectories have to be calculated and have to be controlled to bring the crane system to an oscillation-free position from any state of the main trajectory. The aim of this thesis is to extend the constraints of the existing optimal control problem by using the classic description of linear quadratic regulatorproblems. Hence, the optimal closed-loop control and the closed-loop behavior are embedded in the global optimal control problem description. One main result in this thesis is the proof of the necessary continuous differentiability of this advanced formulation of constraints. In conclusion the feasibility with some coupling effects between the control law and the optimal trajectory are presented with respect to safety requirements and time of computation just as robustness of the system and the controller.
Schlagwörter
optimal control

; 

optimal closed-loop control

; 

linear quadratic regulator

; 

crane system

; 

high rack warehouse

; 

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

00102662-1.pdf

Size

7.01 MB

Format

Adobe PDF

Checksum

(MD5):17328ab438d8bfdc229ecb47878ad779

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