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The Challenges in Building Advanced Mechatronic Systems

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Title: The Challenges in Building Advanced Mechatronic Systems


1
The Challenges in Building Advanced Mechatronic
Systems
Hossein Tajalli 11/08/07
http//www-nbp.upb.de/en/
http//ants.gsfc.nasa.gov
2
Evolution of Mechatronic System
3
Outline
  • Advanced Mechatronic Systems
  • Examples
  • Architectural Model
  • Future Development and Reasearch
  • Evaluation

4
Advanced Mechatronic System
  • Mechanics, Electrical Engineering and computer
    sciences
  • Already are smart Mechatronic systems
  • Next generation
  • Intelligence achieved by gathering information
    from several devices.
  • Two Examples
  • RailCap
  • ANTS

5
RailCap
  • A modular rail system
  • Uses the current railways
  • Independent shuttles
  • On demand service
  • Can form convoys to reduce the energy consumption
  • Cost effective

6
ANTS (NASAs SWARM MISSION)
  • Autonomous Nano Technology Swarm
  • Under Concept Development for 2020-2030
  • Explore the Asteroid Belt
  • A Thousand of Small Spacecrafts
  • Work in Groups

7
Spacecrafts
  • Solar Sail
  • On Board Computational Power, Artificial
    Intelligence and Heuristic System to Control the
    Spacecarft
  • Low BandWidth Communication in Groups
  • In Each Group
  • Workers
  • Rulers
  • Messengers

8
Characteristic for Advanced Mechatronic
  • High Degree of Concurrency
  • Decentralism (Not Centrally Controlled)
  • Self-Coordination
  • Self-Configuration
  • Self-Protecting

9
Architectural Models for Mechatronic Systems
  • Integration of
  • Quasi-Continuous Control System
  • Control loops for Mechanical Parts
  • Change in control Strategy
  • Discrete Control System
  • Modeling different components from different
    disciplines
  • We will look at two architectural models

10
1. Operator-Controller-Module (OCM)
  • Wilhelm Schafer and Heike Wehrheim
  • Institut fur Informatik, University of Paderborn,
    Germany
  • 2007

11
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12
Nested OCM
13
How to Impalement
  • Hybrid Real-time State Chart
  • State diagrams
  • Continues control
  • Mechatronic UML

14
2. A Systematic Model Architecture
  • Jinfeng Huang et al.
  • Department of Electrical Engineering, Eindhoven
    University of Technology, Netherland.
  • 2007

15
Model Characteristics
  • Systematic Modeling
  • Concurrent engineering
  • Local refinement
  • Predictable refinement
  • Architectural Model
  • correctness-preserving synthesis
  • A special synthesis approach
  • Implements the system based on the real
    environment timing

16
POOSL Modeling Language
  • Parallel Object-Oriented Specification Language
  • General purpose modeling Language
  • Process part, a timed and probabilistic system.
  • Data part, object oriented
  • Support
  • control flow statements
  • Parallelism
  • Non-determinism
  • Interruption
  • Synchronous Communication
  • Time

17
Future Development and Research Challenges
  • Processes
  • Current approach throw it over the wall
  • Version (software) Vs. New Product (mechanics)
  • Design for central repository

18
Future Development and Research Challenges
  • Modeling
  • Modeling the Discrete and Continues Parts
  • Contains all the Disciplines
  • Hardware and Software
  • Support Run Time Changes in the System
  • Current Modeling Systems
  • MATLAB/Simulink
  • AUTOSAR

19
Future Development and Research Challenges
  • Code Generation
  • Flexible to hardware changes
  • Code for real time restricted parts
  • FPGAs are a good possibility

20
Future Development and Research Challenges
  • Analysis (Model Checking)
  • Large State-Space due to Continuous Parts
  • Verification is Hard
  • Safety Critical Systems,
  • High Reliability is Required
  • Testing is not Enough
  • A third way in between is required
  • Based on the hybrid modeling
  • Perform integrated hybrid analysis
  • Consider Volatility
  • Consider emergence of new properties

21
Relation to the Embedded system
  • Concurrency
  • Real Time constraints
  • Safety concerns
  • Mobility in other level
  • Modeling
  • Complexity due to Multi Disciplinarily nature of
    the system and Continuous control
  • Analysis
  • Complexity due to Multi Disciplinarily nature of
    the system and Continuous control

22
Evaluation
  • Strengths
  • Elaborated Explanation of the Problems
  • Good Architectural Model Proposed
  • Weaknesses
  • Some ideas presented in the paper might be far
    away
  • In the other paper some possible ways has been
    proposed and tested
  • Advances in the embedded system could have been
    considered

23
Sources
  • Schafer, W. and Wehrheim, H. The Challenges of
    Building Advanced Mechatronic Systems., FOSE,
    May 2007 p72 - 84
  • Huang, Jinfeng Voeten, Jeroen Groothuis,
    Marcel Broenink, Jan Corporaal, Henk A
    model-driven design approach for mechatronic
    systems. Application of Concurrency to System
    Design, Jul 2007 p127 136.
  • Truszkowski, W., Hinchey, M., Rash, J., Rouff, C.
    NASA's swarm missions the challenge of building
    autonomous software., IT Professional, V. 6,
    Sept.-Oct. 2004 p47 52
  • http//www-nbp.upb.de/en/
  • http//ants.gsfc.nasa.gov

24
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