Closed-loop Control System for the Reliability of Intelligent Mechatronic Systems (bibtex)
by ,
Abstract:
So-called reliability adaptive systems are able to adapt their system behavior based on the current reliability of the system. This allows them to react to changed operating conditions or faults within the system that change the degradation behavior. To implement such reliability adaptation, self-optimization can be used. A self-optimizing system pursues objectives, of which the priorities can be changed at runtime, in turn changing the system behavior. When including system reliability as an objective of the system, it becomes possible to change the system based on the current reliability as well. This capability can be used to control the reliability of the system throughout its operation period in order to achieve a pre-defined or user-selectable system lifetime. This way, optimal planning of maintenance intervals is possible while also using the system capabilities to their full extent. Our proposed control system makes it possible to react to changed degradation behavior by selecting objectives of the self-optimizing system and in turn changing the operating parameters in a closed loop. A two-stage controller is designed which is used to select the currently required priorities of the objectives in order to fulfill the desired usable lifetime. Investigations using a model of an automotive clutch system serve to demonstrate the feasibility of our controller. It is shown that the desired lifetime can be achieved reliably.
Reference:
Meyer, T.; Sextro, W.: Closed-loop Control System for the Reliability of Intelligent Mechatronic Systems. Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014, volume 5, 2014.
Bibtex Entry:
@INPROCEEDINGS{Meyer2014,
  howpublished = {Conference Proceedings},
  author = {Meyer, Tobias AND Sextro, Walter},
  title = {Closed-loop Control System for the Reliability of Intelligent Mechatronic
	Systems},
  booktitle = {Proceedings of the Second European Conference of the Prognostics
	and Health Management Society 2014},
  year = {2014},
  volume = {5},
  abstract = {So-called reliability adaptive systems are able to adapt their system
	behavior based on the current reliability of the system. This allows
	them to react to changed operating conditions or faults within the
	system that change the degradation behavior. To implement such reliability
	adaptation, self-optimization can be used. A self-optimizing system
	pursues objectives, of which the priorities can be changed at runtime,
	in turn changing the system behavior.
	
	When including system reliability as an objective of the system,
	it becomes possible to change the system based on the current reliability
	as well. This capability can be used to control the reliability of
	the system throughout its operation period in order to achieve a
	pre-defined or user-selectable system lifetime. This way, optimal
	planning of maintenance intervals is possible while also using the
	system capabilities to their full extent.
	
	Our proposed control system makes it possible to react to changed
	degradation behavior by selecting objectives of the self-optimizing
	system and in turn changing the operating parameters in a closed
	loop. A two-stage controller is designed which is used to select
	the currently required priorities of the objectives in order to fulfill
	the desired usable lifetime.
	
	Investigations using a model of an automotive clutch system serve
	to demonstrate the feasibility of our controller. It is shown that
	the desired lifetime can be achieved reliably.},
  bdsk-url-1 = {https://www.phmsociety.org/node/1222},
  keywords = {self-optimization reliability adaptive},
  url = {https://www.phmsociety.org/node/1222}
}
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