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Research Article
Apr 15, 2019

A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5, Issue 2

Abstract

Managing potential disruptive events at the operating phase of an engineered system therefore improving the system's failure resilience is an importance yet challenging task in engineering design. The resilience of an engineered system can be improved by enhancing the failure restoration capability of the system with appropriate system control strategies. Therefore, control-guided failure restoration is an essential step in engineering design for resilience. Considering different characteristics of disruptive events and their impacts to the performance of a system, effective control strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable guiding principles for selecting effective control strategies, thus implementing the control-guided failure restorations. In this paper, a comparison of three commonly used control strategies for dynamic system control is conducted with the focus on the effectiveness of restoring system performance after the system has undergone different major disruptive events. A case study of an electricity transmission system is used to demonstrate the dynamic system modeling and the comparison of three control strategies for disruption management. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4042829.

Information & Authors

Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5Issue 2June 2019

History

Received: Jul 21, 2018
Revision received: Oct 26, 2018
Published online: Apr 15, 2019
Published in print: Jun 1, 2019

Authors

Affiliations

Department of Industrial and Enterprise Systems Engineering, University of Illinois, Urbana, IL 61801-3080 e-mail: [email protected]
Pingfeng Wang [email protected]
Department of Industrial and Enterprise Systems Engineering, University of Illinois, Urbana, IL 61801-3080 e-mail: [email protected]

Funding Information

Division of Civil, Mechanical and Manufacturing Innovation10.13039/100000147: 1351414
Division of Civil, Mechanical and Manufacturing Innovation10.13039/100000147: 1538508

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