Lessons learned in the application of formal methods to the design of a storm surge barrier control system

Martijn Goorden*, Joanna van de Mortel-Fronczak, Koen van Eldik, Wan Fokkink, Jacobus Rooda

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Abstract

The Maeslantkering is a key flood defense infrastructural system in the Netherlands. This movable barrier protects the city and harbor of Rotterdam, without impacting ship traffic under normal circumstances. Its control system, which operates completely autonomously, must be guaranteed to work correctly even under extreme weather conditions, although it closes only sporadically. During its development in the 1990’s, the formal methods Z and Spin were used to increase reliability. As the availability of industrial expert knowledge on these formal methods declines, maintaining the specifications defined back then has become cumbersome. In the quest for an alternative mathematically rigorous approach, this paper reports on an experience in applying supervisory control synthesis. This formal method was recently applied successfully to other types of infrastructural systems like waterway locks, bridges, and tunnels, with the purpose to ensure safe behavior by coordinating hardware components. Here, we show that it can also be used to coordinate several (controller) software systems. Additionally, we compare the lessons learned from the originally used formal methods and link Z to supervisory control synthesis.
OriginalsprogEngelsk
TitelIFAC-PapersOnLine : 16th IFAC Workshop on Discrete Event Systems
Antal sider7
ForlagElsevier
Publikationsdato2022
Sider93-99
DOI
StatusUdgivet - 2022
Begivenhed16th IFAC Workshop on Discrete Event Systems, WODES 2022 - Prague, Tjekkiet
Varighed: 7 sep. 20228 sep. 2022

Konference

Konference16th IFAC Workshop on Discrete Event Systems, WODES 2022
Land/OmrådeTjekkiet
ByPrague
Periode07/09/202208/09/2022
NavnIFAC-PapersOnLine
Nummer28
Vol/bind55
ISSN2405-8963

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