Conference article
A Simulation Model Validation and Calibration Platform
Shenglin Lin
Control and Simulation Center, Harbin Institute of Technology, China
Wei Li
Control and Simulation Center, Harbin Institute of Technology, China
Xiaochao Qian
Control and Simulation Center, Harbin Institute of Technology, China
Ping Ma
Control and Simulation Center, Harbin Institute of Technology, China
Ming Yang
Control and Simulation Center, Harbin Institute of Technology, China
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http://dx.doi.org/10.3384/ecp17142687Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:100, p. 687-693
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Published: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (print), 1650-3740 (online)
Abstract
The simulation model validation and calibration (SMVC) is a complicated work, including uncertainty description, many simulation experiments execution and complex data analysis etc. Moreover, there are many uncertainty factors such as model form assumptions and solution approximations, random variability of model inputs, etc. need to be considered when requiring a precise model. For assisting the SMVC effectively, this paper develops a software platform to validate and calibrate the simulation models when some quantities may be affected by uncertainty. First, an unprecedented process model, which includes uncertainty description, simulation experiment design, model validation and model calibration, is presented to explicate the procedures of SMVC under uncertainty. In the process model, many new model validation and calibration algorithms under uncertainty are applied based on our previous work. Second, the design of platform is divided into two parts, which consist of structure design and function design, and the software technique based on strategy pattern is introduced to integrate and maintain the SMVC algorithms. Then this platform is implemented according to its expected uses and key design requirements. Finally, application example of model validation and calibration of a flight vehicle kinematic control system is illustrated how to use the platform.
Keywords
model validation, model calibration, uncertainty description; software platform
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