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A Method for Optimizing the Motion Parameters of Flapping Wings

A technology of motion parameters and optimization methods, which is applied in the field of flapping motion parameters optimization, can solve the problem of high cost and achieve the effect of improving accuracy

Active Publication Date: 2022-03-22
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The cost of using numerical simulation or experimental means for the prediction model is relatively high;

Method used

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  • A Method for Optimizing the Motion Parameters of Flapping Wings
  • A Method for Optimizing the Motion Parameters of Flapping Wings
  • A Method for Optimizing the Motion Parameters of Flapping Wings

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Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0061] figure 1 It is a flow chart of flapping motion parameter optimization provided by this application.

[0062] The motion parameter optimization method of the present embodiment includes:

[0063] S1: Use experimental design to preset sampling points in the parameter space of the flapping wing;

[0064] figure 2 The motion form that flapping wing adopts for this embodiment, but not limited to this. The mathematical expression of the motion form is as follows:

[0065] y(t) / c=hcos(2πft)

[0066]

[0067]

[0068] Wherein, in the fuselage coordinate system, the motion form consists of three degrees of freedom motion. y(t) / c is the pitch oscillation motion in the y direction, c is the wing chord length, h is the amplitude of the pitch motion, 0.050 is the rotation amplitude, 00 0 ; The motion parameter space is composed of flapping wing motion paramete...

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Abstract

The invention relates to the technical field of computer simulation, in particular to a method for optimizing motion parameters of flapping wings. The method includes: using experimental design to preset sampling points in the parameter space, using numerical simulation methods to calculate the aerodynamic coefficients corresponding to the sampling points, using high-precision and low-precision samples to construct a proxy model, combining Bayesian optimization to optimize the flapping wing Carry out motion parameter optimization and optimize convergence judgment. When the real aerodynamic coefficient of the optimal point does not meet the error requirements, the calculation result of the optimal point is used as a high-precision sample, and the candidate sampling point is selected using an active learning strategy, and the corresponding aerodynamic coefficient is calculated by low-precision numerical simulation as a low-precision sample, and updated and corrected Proxy model. The present invention effectively utilizes data samples of different precision. The optimization process is integrated, and the motion parameters of the flapping wing are scientifically and efficiently optimized according to the target aerodynamic coefficient to achieve specific aerodynamic performance.

Description

technical field [0001] The invention relates to the technical field of computer simulation, in particular to a method for optimizing motion parameters of flapping wings. Background technique [0002] With the development of bionics, the aerodynamic mechanism behind flying creatures in nature has attracted attention because of its inspiration for the design and control of micro air vehicles. Unlike traditional fixed-wing aircraft, the unsteady effects of MAVs are very complex and significant at low Reynolds numbers due to their smaller size and lower speed. The motion parameters of the flapping wing can effectively affect the trajectory of the flapping wing and the generation of vortex, which greatly affects the unsteady effect. [0003] The traditional flapping wing motion parameter optimization method combines optimization algorithms with different aerodynamic prediction models to optimize motion parameters, which has the following defects: [0004] For the prediction mod...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F30/15
CPCY02T90/00
Inventor 郑鸿宇谢芳芳季廷炜朱灶旭郑耀
Owner ZHEJIANG UNIV
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