Global Sensitivity Analysis for Modeling the Free-Flight Behavior of an Artillery Projectile

Machala, Dawid; Collin, Floriane; Gilson, Marion; Albisser, Marie; Dobre, Simona

doi:10.2514/1.j059065

Cited by 4 publications

(3 citation statements)

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“…Such a property allows to demonstrate the non identifiability of a parameter or to select the most relevant parameters. For recent papers dealing with applications, the reader may refer for example to [51] in biology or [52] in ballistic.…”

Section: Discussionmentioning

confidence: 99%

A priori identifiability: An overview on definitions and approaches

Anstett-Collin

Denis-Vidal

Millérioux

2020

Annual Reviews in Control

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For a system, a priori identifiability is a theoretical property depending only on the model and guarantees that its parameters can be uniquely determined from observations. This paper provides a survey of the various and numerous definitions of a priori identifiability given in the literature, for both deterministic continuous and discrete-time models. A classification is done by distinguishing analytical and algebraic definitions as well as local and global ones. Moreover, this paper provides an overview on the distinct methods to test the parameter identifiability. They are classified into the so-called output equality approaches, local state isomorphism approaches and differential algebra approaches. A few examples are detailed to illustrate the methods and complete this survey.

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Section: Discussionmentioning

confidence: 99%

A priori identifiability: An overview on definitions and approaches

Anstett-Collin

Denis-Vidal

Millérioux

2020

Annual Reviews in Control

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“…15,16 This surrogate model is expected to complement Moore's work. Another contribution is that global sensitivity analysis (GSA) 17,18 is used to assess the effect of several shape parameters on the cubic pitching moment, and as a result, the relationship between the aerodynamic shape parameters and the nonlinear pitching moment is preliminarily explored. This note is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

“…To avoid analysis failure, GSA has been widely used in recent years, especially in the ballistics community. 18 Among several strategies used to assess the global sensitivity of a model, variance-based methods (e.g. Sobol's method) are usually employed, which allows us to determine both the individual influence of each parameter and their interactions.…”

Section: Brief Introduction Of Gsamentioning

confidence: 99%

The cubic pitching moment coefficient of spin-stabilized projectiles

Chang

Zhang

Wei³

2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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This technical note presents a feasible method to effectively predict the cubic pitching moment coefficient for spin-stabilized projectiles. First, a surrogate model for predicting the cubic moment coefficient is constructed by using the Kriging method to relevant published data of several typical spin-stabilized projectiles. The result of a wind tunnel test validates the accuracy of the Kriging prediction, implying that this prediction model complements the current research literature. Second, the global sensitivity analysis combined with this prediction model is used to assess the effect of the shape parameters of spin-stabilized projectiles on the cubic pitching moment coefficient. As a result, the relationship between the shape parameters and the nonlinear pitching moment coefficient is preliminarily explored. The results of an example show that the cylindrical part length, the head shape parameter and the nose length have greater influence, whereas the boat-tail length has the weakest influence.

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A combined aerodynamic parameter identification method for missing test data

Liu¹,

Li²,

Fang³

et al. 2023

西北工业大学学报

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In order to solve the problem that some test data cannot be measured or the measurement is difficult, a combined aerodynamic parameters identification method for missing test data is proposed. In this method, the aerodynamic parameter identification problem is modified into an optimization problem. The initial value of the flight state and the aerodynamic parameter interpolation table are used as design variables, and the motion equation of the aircraft including all aerodynamic parameters is used as a model to construct an objective function containing multiple pieces of test data information. In the optimization, the aerodynamic parameter database and the identification results of the existing methods are used as the prior knowledge. The initial value of the unmeasured data is fitted as the reference value. Then, the feasible sample selection method is designed. Finally, the differential evolution algorithm is used to solve the problem. The proposed method is used to process 264 pieces of test data, and the results show that compared with the existing aerodynamic parameter identification methods, the proposed identification method can obtain all aerodynamic parameters with higher accuracy and can inversely calculate and obtain unmeasured flight test data practical engineering significance.

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Global Sensitivity Analysis for Modeling the Free-Flight Behavior of an Artillery Projectile

Cited by 4 publications

References 50 publications

A priori identifiability: An overview on definitions and approaches

A priori identifiability: An overview on definitions and approaches

The cubic pitching moment coefficient of spin-stabilized projectiles

A combined aerodynamic parameter identification method for missing test data

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