Cybersecurity and dynamic operation in practice: Equipment impacts and safety guarantees. (February 2023)
- Record Type:
- Journal Article
- Title:
- Cybersecurity and dynamic operation in practice: Equipment impacts and safety guarantees. (February 2023)
- Main Title:
- Cybersecurity and dynamic operation in practice: Equipment impacts and safety guarantees
- Authors:
- Nieman, Kip
Messina, Dominic
Wegener, Matthew
Durand, Helen - Abstract:
- Abstract: Though dynamic operation of chemical processes has been extensively explored theoretically in contexts such as economic model predictive control or even considering the potential for cyberattacks on control systems creating non-standard operating policies, important practical questions remain regarding dynamic operation. In this work, we look at two of these with particular relevance to process safety: (1) evaluating dynamic operating policies with respect to process equipment fidelity and (2) evaluating procedures for determining the parameters of an advanced control law that can promote both dynamic operation as well as safety if appropriately designed. Regarding the first topic, we utilize computational fluid dynamics and finite element analysis simulations to analyze how cyberattacks on control systems could impact a metric for stress in equipment (maximum Von Mises stress) over time. Subsequently, we develop reduced-order models showing how both a process variable and maximum Von Mises stress vary over time in response to temperature variations at the boundary of the equipment, to use in evaluating how advanced control frameworks might impact and consider the stress. We close by investigating options for obtaining parameters of an economic model predictive control design that would need to meet a variety of theoretical requirements for safety guarantees to hold. This provides insights on practical safety aspects of control theory, and also indicatesAbstract: Though dynamic operation of chemical processes has been extensively explored theoretically in contexts such as economic model predictive control or even considering the potential for cyberattacks on control systems creating non-standard operating policies, important practical questions remain regarding dynamic operation. In this work, we look at two of these with particular relevance to process safety: (1) evaluating dynamic operating policies with respect to process equipment fidelity and (2) evaluating procedures for determining the parameters of an advanced control law that can promote both dynamic operation as well as safety if appropriately designed. Regarding the first topic, we utilize computational fluid dynamics and finite element analysis simulations to analyze how cyberattacks on control systems could impact a metric for stress in equipment (maximum Von Mises stress) over time. Subsequently, we develop reduced-order models showing how both a process variable and maximum Von Mises stress vary over time in response to temperature variations at the boundary of the equipment, to use in evaluating how advanced control frameworks might impact and consider the stress. We close by investigating options for obtaining parameters of an economic model predictive control design that would need to meet a variety of theoretical requirements for safety guarantees to hold. This provides insights on practical safety aspects of control theory, and also indicates relationships between control and design from a safety perspective that highlight further relationships between design and control under dynamic operation to deepen perspectives from the computational fluid dynamics and finite element analysis discussions. Highlights: Practical safety issues related to equipment and theory are discussed. CFD and FEA simulations used to analyze cyberattack impacts on equivalent stress. Reduced-order models including stress included in economic model predictive control. Probe EMPC theory toward developing theoretically safe controllers. … (more)
- Is Part Of:
- Journal of loss prevention in the process industries. Volume 81(2023)
- Journal:
- Journal of loss prevention in the process industries
- Issue:
- Volume 81(2023)
- Issue Display:
- Volume 81, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 81
- Issue:
- 2023
- Issue Sort Value:
- 2023-0081-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-02
- Subjects:
- Equipment -- Cybersecurity -- Economic model predictive control -- Lyapunov-based economic model predictive control -- Process safety
Chemical industries -- Safety measures -- Periodicals
660.2804 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09504230/ ↗
http://www.journals.elsevier.com/journal-of-loss-prevention-in-the-process-industries/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jlp.2022.104898 ↗
- Languages:
- English
- ISSNs:
- 0950-4230
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.562000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26036.xml