|Contact: ||Dipl.-Ing. Christian Hölscher|
|Malte Strop, M.Sc.|
Depending on its design and structure, a technical system has different degrees of freedom, the modification of which influences the system performance during operation. The effects on the system performance can be evaluated looking at the change in the degree of fulfilling the overall task assigned to the system. In this project, an operating strategy is defined as a specific application of the degrees of freedom of the system leading to a desired positive change in the level of fulfillment of the overall task of the system. As far as the overall task can be divided into subtasks, a deterioration of individual degrees of fulfillment of the subtasks is tolerable, if the level of fulfillment of the overall task is improved.
The operating strategies are designed employing heuristic as well as conventional methods of single- and multi-objective optimization. Heuristic methods use previously gained knowledge to qualitatively generate a positive influence on the system performance. Conventional optimization methods quantitatively minimize a deviation from the desired system objectives by target functions that were defined beforehand. The objectives considered may be values or functions that are constant over the operating time as well as functions that are variable over the operating time and system environment. This allows an adjustment of the system procedure and/or the objectives to changing situations.
Within the operating strategies, it is possible to combine heuristic and conventional optimization methods in terms of a self-optimization, while the system automatically decides whether only one or both optimizing methods are pursued in parallel to the operating time.
There are test rigs to investigate the operating strategies and the mechanical structure of drive systems; they represent the behavior of real models for research purposes.
Drive system for an internal natural rubber mixer
Drive system for a linear-motor driven rail vehicle