A Framework for Integrated Design of Mechatronic Systems

Author(s):  
Kenway Chen ◽  
Jonathan Bankston ◽  
Jitesh H. Panchal ◽  
Dirk Schaefer
Author(s):  
Kenway Chen ◽  
Jitesh Panchal ◽  
Dirk Schaefer

Mechatronic systems encompass a wide range of disciplines and hence are collaborative in nature. Currently the collaborative development of mechatronic systems is inefficient and error-prone because contemporary design environments do not allow sufficient information flow of design and manufacturing data across the electrical and mechanical domains. Mechatronic systems need to be designed in an integrated fashion allowing designers from both electrical and mechanical engineering domains to receive automated feedback regarding design modifications throughout the design process. Integrated design of mechatronic products can be realized through the integration of mechanical and electrical CAD systems. One approach to achieve this type of integration is through the propagation of constraints. Cross-disciplinary constraints between mechanical and electrical design domains can be classified, represented, modeled, and bi-directionally propagated in order to provide automated feedback to designers of both engineering domains. In this paper, the authors focus on constraint classification and constraint modeling and provide a case study example using a robot arm. The constraint modeling approach presented in this paper represents a blueprint for the actual implementation.


2008 ◽  
Author(s):  
Geneviève Dauphin-Tanguy ◽  
Hichem Arioui ◽  
Rochdi Merzouki ◽  
Hadj Ahmed Abbassi

Author(s):  
Maarten Foeken ◽  
Andre´s A. Alvarez Cabrera ◽  
Mark Voskuijl ◽  
Michel van Tooren

The development of control software for mechatronic systems requires data and information from all design domains in order to create the required integrated functionality. This paper proposes a method that combines function modeling and multi-domain modeling primitives to generate control software. Provided a function model based on the Function-Behavior-State modeling paradigm and performance requirements, a knowledge-based engineering application instantiates a virtual product model and control software for a target platform. Object-oriented modeling techniques provide for the development of primitive libraries, which represent both hardware and software components, while integrated design rules ensure that components are correctly placed and connected. Requirements are translated to software specific parameters. A case study of a mobile robot shows that for specific applications both target and simulation control software code can be generated from the same input, and a generated virtual product model can serve as a simulation model in order to validate functionality.


2008 ◽  
pp. 53-62 ◽  
Author(s):  
Maira M. da Silva ◽  
Olivier Brüls ◽  
Bart Paijmans ◽  
Wim Desmet ◽  
Hendrik Van Brussel

Author(s):  
Henrik C. Pedersen ◽  
Torben O. Andersen ◽  
Michael R. Hansen ◽  
Michael M. Bech

Synergism and integration in the design process is what sets apart a Mechatronic System from a traditional, multidisciplinary system. However the typical design approach has been to divide the design problem into sub problems for each technology area (mechanics, electronics and control) and describe the interface between the technologies, whereas the lack of well-established, systematic engineering methods to form the basic set-off in analysis and design of complete mechatronic systems has been obvious. The focus of the current paper is therefore to present an integrated design approach for mechatronic system design, utilizing a multi-level superstructure optimization based approach. Finally two design examples are presented and the possibilities and limitations of the approach are outlined.


Author(s):  
Roland Nattermann ◽  
Reiner Anderl

Existing proceeding-models for the development of mechatronic systems intend a mostly independent development of single components, like the mechanic structure, the electronics, etc., starting from a combined over-all-model. Following the understanding of adaptronics as an advancement of mechatronics in the LOEWE-Center AdRIA (AdRIA – Adaptronic - Research, Innovation and Application), a clear division of the development is not advisable, because of the high structural integration of adaptronic systems. Because of this, it’s necessary to develop the whole system by using a permanent alignment of values between the single components. This high grade of data transfer and the high number of relations between the components lead to a complexity that can only be handled by the use of a Data-Management-system. An approach for a Data-Management-System for the development of adaptronic systems by the Department of Computer Integrated Design, as part of the LOEWE-Center AdRIA, intends to extend the functionality of existing Product-Data-Management-Systems. The idea is to model the over-all system in the Data-Management-System at first, using the partitioning of the system into the five elements of active structures: excitations, structural components, actuator systems, sensor systems and signal processing. Furthermore the characteristic parameters of single components and the correlations between these parameters are captured. In addition the requirements of the adaptronic systems are captured and deposited in the DataManagement-System (DM-System). An integration-layer is used, to integrate the data and models of the different disciplines to the DM-System and to the generated over-all model, during the development of the adaptronic system. The database of the DM-System contains a standardized over-all-simulation model of the adaptronic system, which uses the same partitioning of the system to the different elements as the overall-system model. The consistent structure of the system-model, simulation-model and integration-layer is used for an automated over-all-simulation of the adaptronic system. Using the automated over-all-simulation changes in the adaptronic-system-behavior can be calculated, when changes in single components become available. Using the deposited requirements, these changes can also be valued. An analysis of existing proceeding-models for the development of mechatronic systems shows, that they are only partly suitable for use in the given approach. Therefore a new proceeding model was developed as an advancement of existing models. The new model shows an equitable solution for the development of adaptronic structures by using Data-Management-Systems.


Author(s):  
Eberhard Kallenbach ◽  
Klaus König ◽  
Eugen Saffert ◽  
Christoph Schäffel ◽  
Mathias Eccarius

2004 ◽  
Vol 01 (01) ◽  
pp. 89-99 ◽  
Author(s):  
C. W. DE SILVA

Mechatronic systems are electromechanical systems where an integrated design procedure is used with respect to mechanical and electrical aspects. These systems possess computational intelligence with capabilities such as perception, learning, reasoning, and making inferences (or, decisions) from incomplete information. Concepts of sensing and information acquisition are crucial for mechatronic systems in all stages of design, development, testing, operation, and maintenance. This paper outlines the considerations of sensing and information acquisition for intelligent mechatronic systems. A typical mechatronic system operates as a self-contained unit and involves direct information acquisition. There are situations, however, where a group of mechatronic systems have to operate in a coordinated manner, as in a mechatronic workcell. Also it may be necessary to monitor a mechatronic system remotely and to share common resources between several applications. Networked control is needed then. This issue is also addressed in the paper. Several industrial applications of intelligent mechatronics have been developed in our Industrial Automation Laboratory. Some of them involve cutting, inspection, and grading of fish products. The paper presents a representative application, by highlighting information acquisition and the integration of sensing and control.


2015 ◽  
Vol 48 (10) ◽  
pp. 75-80 ◽  
Author(s):  
Giacomo Barbieri ◽  
Gabriele Goldoni ◽  
Roberto Borsari ◽  
Cesare Fantuzzi

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