Modeling and analysis of the reliability of digital networked control systems considering networked degradations

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

11 Scopus Citations
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Author(s)

  • Huadong Mo
  • Wei Wang
  • Min Xie
  • Junlin Xiong

Detail(s)

Original languageEnglish
Article number7137681
Pages (from-to)1491-1503
Journal / PublicationIEEE Transactions on Automation Science and Engineering
Volume14
Issue number3
Online published26 Jun 2015
Publication statusPublished - Jul 2017

Abstract

Digital networked control systems are of growing importance in safety-critical systems and perform indispensable function in most complex systems today. Networked degradations such as transmission delay and packet dropout cause such systems to fail to satisfy performance requirements, and eventually affect the overall reliability. It is necessary to get a model to verify and evaluate the system reliability in early design phase, prior to its implementation. However, existing probabilistic models only provide partial descriptions of such coupled networks and control system. In this paper, a new stochastic model represented by linear discrete-time approach is proposed, considering data packet transmissions in both channels: controller-to-actuator and sensor-to-controller. Different from pervious works, the historical behaviors of networked degradations are modeled by multistate Markov chains with uncertainties, releasing the assumption that faults of all periods are independent of each other. The concept of domain requirements for such systems is considered here, contributing to the integration of control and reliability engineering. Methodologies for quantitatively assessing the reliability of the single-and sequential-control goal are derived from the Monte Carlo method. An example of an industrial heat exchanger digital networked control system is provided to illustrate the effectiveness of the model and method. Note to Practitioners-Digital control systems are widely used for safety-critical systems today, and for such a system, the reliability has become an important topic. It is a difficult issue due to its complexity, time-dependence, and degradation. The proposed framework in this paper enables dynamic reliability modeling and statistical analysis for digital control systems subject to networked degradations. The novelty of this paper is the modeling and analysis that link the control system and reliability engineering. The control systems are regarded as failures determined by whether the performances satisfy all operational requirements and the reliability concerns the ability of system or component to perform its required functions under stated conditions for a specified period of time. Therefore, the reliability of the digital networked control systems can be defined as the ability of the control systems to maintain operational requirements in the presence of networked degradations. Monte Carlo simulation can be used to quantitatively assess such ability. Case study shows that this framework is applicable in helping the designers fully understand the systems and make decisions.

Research Area(s)

  • Digital Networked Control Systems (DNCSs), Monte Carlo, Networked degradations, Reliability

Citation Format(s)

Modeling and analysis of the reliability of digital networked control systems considering networked degradations. / Mo, Huadong; Wang, Wei; Xie, Min; Xiong, Junlin.

In: IEEE Transactions on Automation Science and Engineering, Vol. 14, No. 3, 7137681, 07.2017, p. 1491-1503.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review