Efficient approximate optimization method for aircraft driven by heterogenous data

A data-driven, optimization method technology, applied in design optimization/simulation, special data processing applications, constraint-based CAD, etc., to reduce R&D costs, improve system performance, and improve solution efficiency and robustness.

Pending Publication Date: 2021-11-16
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0035] Aiming at the problem that the existing peak-chasing sampling method and its derivative algorithm are difficult to use heterogeneous data in engineering, the technical problem to be solved by the heterogeneous data-driven aircraft efficient approximate optimization method disclosed in the present invention is: through high/low precision sample points Construct a co-kriging proxy model of high-precision analysis model, make full use of the multi-source simulation model with different precision in the project,

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  • Efficient approximate optimization method for aircraft driven by heterogenous data
  • Efficient approximate optimization method for aircraft driven by heterogenous data
  • Efficient approximate optimization method for aircraft driven by heterogenous data

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Embodiment Construction

[0092] In order to further illustrate the purpose and advantages of the present invention, the present invention will be further described below in conjunction with specific examples, and the comprehensive performance of the present invention will be verified and analyzed by comparing with the reference airfoil.

[0093] The specific implementation process will be described below through an example of airfoil aerodynamic optimization as an example.

[0094] The purpose of the airfoil aerodynamic optimization problem is to improve the aerodynamic characteristics of the airfoil. The design variables of airfoil aerodynamic optimization problem are ten disturbance parameters of airfoil shape function. The optimized model expression is as follows:

[0095]

[0096] In the formula, Cl is the lift coefficient, Cd is the drag coefficient, and t max is the maximum thickness of the airfoil, is the maximum thickness of the initial airfoil, Cd 0 is the initial airfoil drag coeffic...

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Abstract

The invention discloses an efficient approximate optimization method for aircraft driven by heterogenous data, and belongs to the technical field of aircraft engineering optimization. A fuzzy clustering point selection strategy based on distance identification is adopted to select high-quality local high/low-precision sample points with better feasibility and optimality from an alternative sample point set, and the optimization process is guided to rapidly converge to a global feasible optimal point; and a Co-kriging agent model of an aircraft system analysis model is constructed through selected high/low-precision sample points, and multi-source simulation analysis models with different precisions in engineering are fully utilized to realize guaranteed-precision fast-response prediction of a complex aircraft engineering system, the solving efficiency and robustness of an aircraft system optimization problem related to a high-time-consuming analysis model are improved, and the performance of a complex aircraft system is improved. The method is suitable for being applied to the field of aircraft complex engineering system optimization containing a high-precision analysis model, and corresponding related engineering problems are solved.

Description

technical field [0001] The invention relates to an efficient approximate optimization method for aircraft driven by heterogeneous data, and belongs to the technical field of aircraft engineering optimization. Background technique [0002] With the development of subject modeling technology, numerical computing technology and computer hardware and software, high-precision analysis models are widely used in the engineering practice of aircraft optimization, such as Computational Fluid Dynamics (Computational Fluid Dynamics, CFD) model of aerodynamics, structural discipline Finite Element Analysis (FEA) model, etc. Applying a high-precision analysis model can improve the confidence of the results and improve the quality of the vehicle, but at the same time it increases the computational cost. In addition, in the process of aircraft optimization, the high-precision analysis model is repeatedly called to find the optimal solution, which further increases the computational comple...

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Application Information

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IPC IPC(8): G06F30/27G06F30/15G06F111/04
CPCG06F30/27G06F30/15G06F2111/04
Inventor 龙腾毛能峰史人赫武宇飞王若冰
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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