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METHODS FOR AUTOMATING MODEL VALIDATION: STEADY-STATE IDENTIFICATION APPLIED ON GRIPEN FIGHTER ENVIRONMENTAL CONTROL SYSTEM MEASUREMENTS
Saab Aeronautics, Linköping, Sweden.ORCID-id: 0000-0002-5773-3518
Saab Aeronautics, Linköping, Sweden.ORCID-id: 0000-0002-3120-1361
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Fluida och mekatroniska system. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Fluida och mekatroniska system. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-2315-0680
2016 (engelsk)Inngår i: Proceedings of the 30th congress of the International Council  of the Aeronautical Sciences, 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Model Validation and Verification (V&V) has historically often been considered a final step in the model development process. However, to justify model-based design decisions throughout the entire system development process, a methodology for continuous model V&V is essential. That is, model V&V activities should be fast and easy to reiterate as new information becomes available. Using a high fidelity simulation model of the Environmental Control System (ECS) in the Saab Gripen fighter aircraft as a guiding example, this paper further extends to an existing semiautomatic framework for model steady-state validation developed during ECS model validation efforts. Generic methods for identification of steady-state operation are a prerequisite for steady-state validation of industry grade physics based models against insitu measurements. Four different established methods for steady-state identification are investigated and compared: steady-state conditions on the standard deviation estimated from in-situ measurements, conditions on the variation coefficient, t-test on the slope of a simple regression line, and comparison of differently estimated variances. The methods’ applicability, on ECS measurements in particular, is evaluated utilizing steady-state identification needs defined during Gripen ECS model validation activities.

Model Validation and Verification (V&V) has historically often been considered a final step in the model development process. However, to justify model-based design decisions throughout the entire system development process, a methodology for continuous model V&V is essential. That is, model V&V activities should be fast and easy to reiterate as new information becomes available.

Using a high fidelity simulation model of the Environmental Control System (ECS) in the Saab Gripen fighter aircraft as a guiding example, this paper further extends to an existing semi-automatic framework for model steady-state validation developed during ECS model validation efforts. Generic methods for identification of steady-state operation are a prerequisite for steady-state validation of industry grade physics based models against in-situ measurements. Four different established methods for steady-state identification are investigated and compared: steady-state conditions on the standard deviation estimated from in-situ measurements, conditions on the variation coefficient, t-test on the slope of a simple regression line, and comparison of differently estimated variances. The methods’ applicability, on ECS measurements in particular, is evaluated utilizing steady-state identification needs defined during Gripen ECS model validation activities.

sted, utgiver, år, opplag, sider
2016.
Emneord [en]
Gripen, Steady-state identification, Automating model validation, Historical data validation
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-142397ISBN: 978-3-932182-85-3 (tryckt)OAI: oai:DiVA.org:liu-142397DiVA, id: diva2:1153446
Konferanse
The 30th congress of the The International Council of the Aeronautical Sciences
Prosjekter
OpenCPSTilgjengelig fra: 2017-10-30 Laget: 2017-10-30 Sist oppdatert: 2017-11-16

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