Approximation of Environment Models for an Air Gap Adjustment System in a Hybrid Planning Context

Adelt, Philipp; Schmidt, Alexander; Esau, Natascha; Kleinjohann, Lisa; Kleinjohann, Bernd; Rose, Mirko

doi:10.1109/isic.2008.4635937

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Since the position of the primary motor part is subject to tolerances and environmental influences, the air gap is not constant. For this purpose, the propulsion system possess a sub module, called Air Gap Adaption System (AGAS) [30] that can adjust the position of the secondary motor part. Figure 3 shows a dependency between the planning processes within the propulsion main system and the AGAS.…”

Section: Application Examplementioning

confidence: 99%

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Divide & conquer in planning for self-optimizing mechatronic systems - A first application example

Klöpper

Honiden

Dangelmaier

2011

Computational Intelligence in Control and Automation (CICA)

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Self-optimizing mechatronic systems are a new class of technical system promising new levels of flexibility and utility in electro-mechanical systems. Planning is an important method to realize self-optimization, although today hardly used in mechatronics. In this context, planning is understood as search for a feasible sequence of operations which implements the execution of specific job assigned to a system. This search is a complex and time-consuming task. Hence, it is desirable to decompose the planning task into smaller sub problems according to paradigm of divide & conquer and use problem specific solution methods. Unfortunately, possible planning sub problems in mechatronic systems cannot be considered isolated since sub modules influence each other. This paper introduces the application of a multiagent-planning model based on cooperative objective functions that enable the coordinated solution of sub problems.

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Section: Application Examplementioning

confidence: 99%

“…On each level, the two pruning rules are applied. 30 [RETURN] 31 return the best node from the last currentLevel;…”

Section: B Initial Local Planning For Propulsion Systemmentioning

confidence: 99%

Divide & conquer in planning for self-optimizing mechatronic systems - A first application example

Klöpper

Honiden

Dangelmaier

2011

Computational Intelligence in Control and Automation (CICA)

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Demonstrating self-optimization using a heterogeneous robot group

Adelt

Kleinjohann

Herbrechtsmeier

et al. 2010

2010 8th IEEE International Conference on Industrial Informatics

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Self-optimization is a concept for mechatronic systems to leave open the choice among system objectives as a degree of freedom until runtime to allow better adaptation to changing system and environment conditions. Demonstration and knowledge transfer of the concept is not easy as the effects of it in mechatronic systems are hard to see in a complex system. To further spread the idea of self-optimization, an intuitive anchor is needed to make it easier to talk about the concept. Also the abstraction from technical details facilitates focusing on the concept. We have developed a multi-agent heterogeneous robotic demonstrator that allows showing the process of self-optimization on a timescale of minutes. The demonstrator decomposes the roles in a mechatronic system to robotic agents. An association between a function and the behavior of the robot is achieved. After having demonstrated the setup for expert and non-expert audiences we have seen the encouraging effect that discussions spin off easily and allow to spread the idea effectively. We present the concept of self-optimization, the behavior-based demonstrator scenario implemented using BeBot miniature and Paderkicker robots in an office environment.

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Integrating dynamic track sectioning into a hybrid planning infrastructure

Schmidt

Adelt

Esau

2008

2008 SICE Annual Conference

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Approximation of Environment Models for an Air Gap Adjustment System in a Hybrid Planning Context

Cited by 5 publications

References 6 publications

Divide & conquer in planning for self-optimizing mechatronic systems - A first application example

Divide & conquer in planning for self-optimizing mechatronic systems - A first application example

Demonstrating self-optimization using a heterogeneous robot group

Integrating dynamic track sectioning into a hybrid planning infrastructure

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Approximation of Environment Models for an Air Gap Adjustment System in a Hybrid Planning Context

Cited by 5 publications

References 6 publications

Divide &amp; conquer in planning for self-optimizing mechatronic systems - A first application example

Divide &amp; conquer in planning for self-optimizing mechatronic systems - A first application example

Demonstrating self-optimization using a heterogeneous robot group

Integrating dynamic track sectioning into a hybrid planning infrastructure

Contact Info

Product

Resources

About

Divide & conquer in planning for self-optimizing mechatronic systems - A first application example

Divide & conquer in planning for self-optimizing mechatronic systems - A first application example