The fuzzy logic application in rapid prototyping of mechatronic systems

2004 ◽  
Author(s):  
T. Buratowski ◽  
T. Uhl
Keyword(s):  
Fuzzy Logic ◽  
Rapid Prototyping ◽  
Mechatronic Systems

Rapid Prototyping of Fuzzy Logic Controllers

1996 ◽  
Author(s):  
Kevin J. Gorman ◽  
Kourosh J. Rahnamai
Keyword(s):  
Signal Processing ◽  
Fuzzy Logic ◽  
Digital Signal Processing ◽  
Rapid Prototyping ◽  
Real Time ◽  
Digital Signal ◽  
Fuzzy Logic Controllers ◽  
Graphical Interfaces ◽  
Logic Inference ◽  
Logic Controllers

Abstract The rapid prototyping of fuzzy logic controllers is accomplished by using the tools Matlab, Simulink, Fuzzy Logic Toolkit, and Real-Time Workshop. Device drivers were developed for Simulink for interfacing with DT2801 and DT2821 data acquisition boards. The fuzzy logic inference engine for the Fuzzy Logic Toolkit was modified to allow the systems to work as independent programs and to be downloadable to DSP (Digital Signal Processing) boards. Simulink is used to graphically implement fuzzy logic controllers. The Real-Time Workshop is used to compile blocks from Simulink into C code, then into an independent executable program, both on the PC and a dSpace DSP (Digital Signal Processing) board. Graphical interfaces are created and debugged by using dSPACE’s tools, Cockpit and Trace. By combining these tools, real-time fuzzy logic controllers are developed in laboratory environments.

Using Enviromental Models Approximated by Fuzzy Identification for Hybrid Planning of Mechatronic Systems

2008 ◽  
Author(s):  
Alexander Schmidt ◽  
Philipp Adelt ◽  
Natascha Esau ◽  
Lisa Kleinjohann ◽  
Bernd Kleinjohann
Keyword(s):  
Fuzzy Logic ◽  
Environment Modeling ◽  
Mechatronic Systems ◽  
Fuzzy Identification ◽  
Course Of Action ◽  
Future System ◽  
Continuous Domains ◽  
Adjustment System ◽  
Hybrid Planning

Above the controller level a lot of components are needed in mechatronic systems for the development towards self-optimizing systems. One of these components is a hybrid planning architecture. This architecture integrating discrete and continuous domains is of major importance to support the permanent determination of system objectives and their implementation during the course of action. Through this the principle of self-optimizing mechatronic systems is defined as well. Such a novel hybrid planning architecture is outlined in this paper. In order to plan efficiently and safely, environment models are needed for predicting future system behaviors. In this paper we propose a fuzzy logic based approach to environment modeling and apply it in a railway-bound domain within the context of an air gap adjustment system for a dual-fed linear motor powering a wheeled train.

scholarly journals A Cooperative and Competitive Workshop in Mechatronics Engineering

2014 ◽  
Vol 4 (1) ◽  
pp. 13
Author(s):  
Stefan Krebs ◽  
Sebastian Schmidt ◽  
Sven Matthiesen ◽  
Sören Hohmann
Keyword(s):  
Pilot Study ◽  
Rapid Prototyping ◽  
Development Process ◽  
Solution Space ◽  
Mechatronic Systems ◽  
Synergy Effects ◽  
Level Of Difficulty ◽  
Institute Of Technology ◽  
High Level ◽  
Karlsruhe Institute

This paper presents a new mechatronics laboratory for students in the 5th semester of the mechatronics degree course at the Karlsruhe Institute of Technology. It is the aim of this teaching event to sharpen the appreciation of synergy effects in the development of mechatronic systems among the students. Despite of the great freedom in the development process, a concept has been evolved, which causes low running costs due to the combination of a model kit with rapid prototyping methods. A first pilot study of the laboratory starting in the winter term 2014 has shown that the students approach the task despite of the high level of difficulty with fun and dedication, especially because of the wide solution space which was unknown for them from previous lectures.

RABBIT-a modular rapid-prototyping platform for distributed mechatronic systems

2002 ◽  
Author(s):  
M.C. Zanella ◽  
M. Robrecht ◽  
A. de Freitas ◽  
F.A. Horst ◽  
T. Lehmann ◽  
...  
Keyword(s):  
Rapid Prototyping ◽  
Mechatronic Systems

Bond Graph Model Based and Fuzzy Logic For Robust FDI of Mechatronic Systems

2012 ◽  
Vol 45 (20) ◽  
pp. 126-131
Author(s):  
N. Chatti ◽  
A-L. Gehin ◽  
R. Merzouki ◽  
B. Ould Bouamama ◽  
Y. Touati
Keyword(s):  
Fuzzy Logic ◽  
Graph Model ◽  
Bond Graph ◽  
Mechatronic Systems ◽  
Model Based

scholarly journals Study of rail vehicles movement characteristics improvement in curves using fuzzy logic mechatronic systems

2019 ◽  
Vol 294 ◽  
pp. 03019 ◽  
Author(s):  
Mikhail Kapitsa ◽  
Evgen Mikhailov ◽  
Sergii Kliuiev ◽  
Stanislav Semenov ◽  
Maksim Kovtanets
Keyword(s):  
Fuzzy Logic ◽  
Horizontal Plane ◽  
Position Control ◽  
Navigation Systems ◽  
Mechatronic Systems ◽  
Rail Vehicle ◽  
Rail Vehicles ◽  
Movement Characteristics ◽  
Curved Section ◽  
System Operating

The article deals with the effectiveness of reducing the level of force interaction of the rail vehicle wheels with rails in curved sections of the track through the use of mechatronic position control systems for wheel pairs in the rail gauge in the horizontal plane. The approaches to the creation of such a mechatronic system operating on the principles of fuzzy logic are described. To determine the angles of attack of wheels on the rails, it was proposed to use the acoustic emission indicators of the contact of the wheel with the rail. To determine the direction of curvature of the rail track, it is advisable to use data from navigation systems. The study of the dynamics of the rail vehicle during the passage of a curved section of the track in real time was carried out using the Matlab/Simulink software package. The proposed mechatronic control system for the position of the wheel sets in the horizontal plane allows to ensure their optimal installation under various driving conditions in the rail gauge. This makes it possible to minimize the angles of attack of the wheels and reduce the forces of the horizontal interaction of the wheels with the rails.

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