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Control-Quality Optimization for Distributed Embedded Systems with Adaptive Fault Tolerance

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Author

  • Soheil Samii
  • Unmesh D. Bordoloi
  • Petru Eles
  • Zebo Peng
  • Anton Cervin

Summary, in English

In this paper, we propose a design framework for distributed embedded control systems that ensures reliable execution and high quality of control even if some computation nodes fail. When a node fails, the configuration of the underlying distributed system changes and the system must adapt to this new situation by activating tasks at operational nodes. The task mapping as well as schedules and control laws that are customized for the new configuration influence the control quality and must, therefore, be optimized. The number of possible configurations due to faults is exponential in the number of nodes in the system. This design-space complexity leads to unaffordable design time and large memory requirements to store information related to mappings, schedules, and controllers. We demonstrate that it is sufficient to synthesize solutions for a small number of base and minimal configurations to achieve fault tolerance with an inherent minimum level of control quality. We also propose an algorithm to further improve control quality with a priority-based search of the set of configurations and trade-offs between task migration and replication.

Publishing year

2012

Language

English

Pages

68-77

Publication/Series

24th Euromicro Conference on Real-Time Systems (ECRTS), 2012

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Conference name

24th Euromicro Conference on Real-Time Systems

Conference date

2012-07-10

Conference place

Pisa, Italy

Status

Published

Project

  • ELLIIT LU P02: Co-Design of Robust and Secure Networked Embedded Control Systems
  • ELLIIT-sched

Research group

  • ELLIIT
  • LCCC

ISBN/ISSN/Other

  • ISSN: 1068-3070
  • ISBN: 978-1-4673-2032-0