Elevator
XI. Intern. Symposium in Theoretical Electrical Engeneering, Linz, Aug. 19. - 22, 2001
A Modeling Approach for Mechatronic Systems Modeling and Simulation of an Elevator System
Peter Schneider, Erich Huck, Peter Schwarz
Fraunhofer Institute for Integrated Circuits, Design Automation Division Dresden, Germany
[1] this kind of formulation - eq. (2) - is needed.
Due to the complexity of mechatronic systems [2] there is a strong demand for better assistance in formulating system equations. To analyze real-world problems a powerful interdisciplinary modeling methodology covering:
• a unified modeling approach,
• standardized modeling languages,
• algorithms and tools for model generation (order reduction, approximation etc.) and
• properties for system optimization is necessary.
Abstract -- Mechatronic systems as well as other technical systems (microsystems, distributed automation systems, ...) can be characterized as complex heterogeneous systems. Typically, they show some of the following features:
- mixed physical domains (mechanical, electrical, thermal, fluidic, ... phenomena),
- partially close coupling between these domains,
- distributed and lumped effects or elements, respectively,
- continuous and discrete signals and systems
(in electronics: analog and digital).
Often, the modeling of continuous systems leads to very large systems of stiff differential equations. In contrast, system simulation requires simpler and faster models to investigate the interaction between all components. That’s why a powerful methodology for the modeling and simulation of mechatronic systems is demanded which considers their special characteristics. This methodology must cover a unified modeling approach, standardized modeling languages, algorithms and tools for model generation and capabilities for system optimization. In the following an approach for modeling is presented which meets these requirements. A realworld example, the modeling of an
A Modeling Approach for Mechatronic Systems Modeling and Simulation of an Elevator System
Peter Schneider, Erich Huck, Peter Schwarz
Fraunhofer Institute for Integrated Circuits, Design Automation Division Dresden, Germany
[1] this kind of formulation - eq. (2) - is needed.
Due to the complexity of mechatronic systems [2] there is a strong demand for better assistance in formulating system equations. To analyze real-world problems a powerful interdisciplinary modeling methodology covering:
• a unified modeling approach,
• standardized modeling languages,
• algorithms and tools for model generation (order reduction, approximation etc.) and
• properties for system optimization is necessary.
Abstract -- Mechatronic systems as well as other technical systems (microsystems, distributed automation systems, ...) can be characterized as complex heterogeneous systems. Typically, they show some of the following features:
- mixed physical domains (mechanical, electrical, thermal, fluidic, ... phenomena),
- partially close coupling between these domains,
- distributed and lumped effects or elements, respectively,
- continuous and discrete signals and systems
(in electronics: analog and digital).
Often, the modeling of continuous systems leads to very large systems of stiff differential equations. In contrast, system simulation requires simpler and faster models to investigate the interaction between all components. That’s why a powerful methodology for the modeling and simulation of mechatronic systems is demanded which considers their special characteristics. This methodology must cover a unified modeling approach, standardized modeling languages, algorithms and tools for model generation and capabilities for system optimization. In the following an approach for modeling is presented which meets these requirements. A realworld example, the modeling of an
References: Miu, D.K.: Mechatronics. Springer, New York, 1993. Saber Documentation, Release 4.3, Analogy Inc., Beaverton, 1998. Schwarz, P.: Physically Oriented Modeling of Heterogeneous systems. 3. IMACS Symposium of Mathematical Modelling (MATHMOD), Wien, 2.-4. Feb. 2000, pp. 309-318. ZIEHL-ABEGG: Zetadyn 1DF - System description, Künzelsau, 1996. Neul, R. et al.: A modeling approach to include mechanical microsystem components into system simulation. Proc. Design, Automation & Test Conf. (DATE’98), Paris, 1998, pp. 510-517.