10 research outputs found
Model-based design of intelligent mechatronic systems using semantic web technologies
No full textFelix Oestersötebier ; [Referent: Prof. Dr.-Ing. habil. Ansgar Trächtler, Korreferent: Prof. Dr.-Ing. Jürgen Gausemeier]Universität Paderborn, Dissertation, 201
Design and Implementation of Intelligent Control Software for a Dough Kneader
No full textAbstractIn traditional dough kneading machines the ingredients, e.g. flour, water, salt and yeast are filled into a cylindrical vessel and mixed by means of a rotating spiral. In order to assure consistent dough quality while environmental conditions and flour characteristics vary, an experienced baker needs to 1) manually set the rotational speed as well as the time for kneading and 2) continuously monitor the kneading process. The overall goal of this work is to develop an intelligent kneading machine that autonomously decides how to set the speed and when to stop kneading. This machine assists the bakers work and allows for more efficient use of kneaders as part of autonomous production systems. We describe the design of intelligent information processing algorithms that were implemented in a technology demonstrator and validated with the expertise of professional bakers. While focusing on the control software, the underlying concepts are explained and relevant results are shown. In particular, reliable detection of phase-shifts and model-based prediction of dough properties was achieved
Approach for an Integrated Model-based Design of Intelligent Dynamic Systems Using Solution and System Knowledge
No full textAbstractIn the design process of intelligent technical systems, simultaneous and concurrent engineering is generally encouraged on the one hand, while on the other hand cooperation and coordination of the involved disciplines is required. In multidisciplinary system development, 1) a common understanding of the objective is of vital importance for the system's success and 2) the combined artifacts of the different disciplines need to be analyzed before the system is built. In this paper, we address these issues and present an approach for an integrated model-based design process, which facilitates the use of solution and system knowledge and reduces the huge effort for building and maintaining the required simulation models. To illustrate this, we use the application example of two cooperating delta robots.The system knowledge constitutes the basis for concurrent design in the involved disciplines, all of which provide and expand certain aspects. To analyze the domain-specific dynamic behavior of the subsystems and their components, multiple dynamic behavior models are developed in different levels of detail and domains. However, in order to analyze the complex interactions and dependencies between them, integrated models of the whole system are needed, which fit the varying modeling objectives and analysis goals. Certainly, the manual process of building up such models and maintaining consistency between all the artifacts entails great effort. To improve this, we present the concept of a Multifunctional Model Client (MMC)
Feature Model Approach for Managing Variablility of Dynamic Behavior Models in Mechatronic Systems
No full textA Modelica Contact Library for Idealized Simulation of Independently Defined Contact Surfaces
No full textModel-Based Design of Mechatronic Systems by Means of Semantic Web Ontologies and Reusable Solution Elements
No full textSimulative Absicherung mechatronischer Systeme in der frühen Phase der Produktentstehung
No full textApproach for an Early Validation of Mechatronic Systems Using Idealized Simulation Models within the Conceptual Design
No full textApplication of an intelligent network architecture on a cooperative cyber-physical system: An experience report
No full text6 S.Cooperative cyber-physical systems (CCPS) are driven by the tight coordination between computational components, physical sensors and actuators, and the interaction with each other over system bounds. The software development of CCPS is getting more complex because of the tight integration, heterogeneous technologies, as well as safety and timing requirements. Therefore, new engineering approaches, such as model-driven development methods, are required, along with communication architectures with self- capabilities. Both will support the developer in specifying such a system effectively and efficiently. However, the application of such techniques for the development of CCPS has not been addressed sufficiently so far. This paper presents an experience report of developing a cooperative delta-robot system that juggles a ball without a central control or camera system. For the development, an intelligent network architecture and model-driven development method for CCPS are applied
