Optimization method for processing multiple extreme values and multiple restricted problems in flight vehicle design

An optimization method and constrained optimization technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of avoiding duplication of labor, ensuring feasibility, and increasing universality

Inactive Publication Date: 2015-07-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Application Information

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Problems solved by technology

[0018] The technical problem to be solved by the present invention is to realize the high-precision and low-time-consuming

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  • Optimization method for processing multiple extreme values and multiple restricted problems in flight vehicle design
  • Optimization method for processing multiple extreme values and multiple restricted problems in flight vehicle design
  • Optimization method for processing multiple extreme values and multiple restricted problems in flight vehicle design

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Embodiment 1

[0050] Embodiment 1: wing airfoil design optimization.

[0051] The optimization of airfoil design is of great significance to improve the overall aerodynamic performance of the aircraft. With the development of computer technology, Computational Fluid Dynamics (CFD) technology is widely used in airfoil design optimization. Taking NACA0012 as the benchmark airfoil, the CST method is used to describe the airfoil curve. The design goal is to maximize the lift-to-drag ratio of the airfoil under the premise of satisfying the constraint conditions by modifying the shape of the airfoil curve. The constraints used include: the maximum thickness of the airfoil t * max Not less than the maximum thickness t of the initial airfoil 0 max 80% of that to ensure structural strength; the lift coefficient Cl is not less than the initial airfoil lift coefficient Cl 0 To ensure that the airfoil can provide enough lift for the aircraft. The mathematical description of the problem is as foll...

Embodiment 2

[0075] Embodiment 2: Optimal design of solid rocket motor housing.

[0076]The solid rocket motor shell is an important part of the solid rocket motor, and it is an important guarantee to ensure the static strength of the engine structure and the pressure bearing capacity of the combustion chamber. Solid rocket motors are mostly disposable consumables. Under the premise of satisfying the constraints, it is hoped that its total cost will be the smallest, including the cost of materials, forming and welding. The total cost of solid rocket motor case design can be expressed as

[0077] f ( x ) = 0.622 4 x 1 x 3 x 4 + 1.778 1 x 2 x 3 2 ...

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Abstract

The invention discloses an optimization method for processing multiple extreme values and multiple restricted problems in flight vehicle design, relates to an optimization method of multiple extreme values and multiple restricted problems in processing flight vehicle design, and belongs to the field of flight vehicle design optimization. The optimization method combines a filter principle and a particle cluster optimization, forms a design method with ability of processing global optimization, realizes the data processing and solution of multiple extreme values and multiple restricted problems in the flight vehicle design, ensures the understanding feasibility, avoids the repeated work of setting penalty factors in traditional design solution, and improves the design efficiency and solving precision. The data processing and solving process of the optimization method is separated from a flight vehicle design optimization model, thus the universality of the optimization method is increased. The optimized design result under the conditions of multiple extreme values and multiple restrictions is applied to the flight vehicle project design; the optimization method is indirectly possessed of the advantages of shortening the design cycle of the flight vehicle, reducing cost and consumable items of appointed design task, and realizes the improvement of comprehensive performance of the flight vehicle in the appointed design task.

Description

technical field [0001] The invention relates to an optimization method for dealing with multi-extreme and multi-constraint problems, in particular to an optimization method for processing multi-extreme and multi-constraint problems in aircraft design, belonging to the field of aircraft design optimization. Background technique [0002] Today, many aircraft engineering design examples can be attributed to function optimization problems, and engineering applications often contain constraints. Therefore, it is of great significance to study the solution method of constrained optimization problems and form a set of feasible data processing schemes to guide the actual engineering design problems. practical significance. In order to make the design results meet the problem constraints, the penalty function method, sequential quadratic programming and feasible direction method are generally used to deal with the problem constraints at home and abroad. The latter two methods need t...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 刘莉蒋孟龙龙腾王祝
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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