Online peak searching data processing method based on mixed performance function

A technology of data processing and mixed performance, applied in the testing, measuring devices, instruments, etc. of machine/structural components, can solve the problems of unsuitable system model, system prediction lag, and difficulty in compatible frequency, and achieve real-time robust online process optimization , the effect of high-efficiency power output

Active Publication Date: 2021-06-11
INST OF HIGH SPEED AERODYNAMICS OF CHINA AERODYNAMICS RES & DEV CENT
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Problems solved by technology

[0003] The modulation-demodulation scheme adopted by the classical gradient method relies on the system prediction lag that may deviate significantly from the expected value, and is not suitable for the syst

Method used

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  • Online peak searching data processing method based on mixed performance function
  • Online peak searching data processing method based on mixed performance function
  • Online peak searching data processing method based on mixed performance function

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Embodiment 1

[0058] The specific steps of the online peak-finding data processing method based on the hybrid performance function of this embodiment are as follows:

[0059] Step S100: In engineering practice, the resistance of the rear aircraft in formation flight is affected by three independent factors: the relative position of the rear aircraft and the front aircraft in the flow direction, the relative position of the span direction, and the relative position of the vertical direction. According to the analysis of test data, the relative position of the rear machine is relatively less affected by the relative position of the flow direction, so in this example, the relative position of the span direction and the relative position of the vertical direction are selected as the independent variables x 1 、x 2 , the two form a discrete set X=[x 1 x 2 ] T . Correspondingly, the drag coefficient of the rear aircraft is selected as the target performance function D of drag reduction of the...

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Abstract

The invention discloses an online peak searching data processing method based on a mixed performance function. The data processing method comprises the following steps: firstly, designing an approximate function to approximately fit relevant parameter functions and a target performance function, and carrying out weighted combination on the relevant parameter functions to construct a mixed performance function so as to approximately fit the target performance function; then, adopting a time-varying Kalman filter to estimate the gradient vector and the Seesh matrix of each approximation function, and a least square method to determine the optimal weighting weight for constructing the hybrid performance function; and finally, according to each approximate function gradient vector obtained by estimation, the Seesh matrix and the optimal weighting weight, rapidly and approximately solving peak coordinates of the target performance function. According to the data processing method, real-time robust online process optimization can be realized, the peak position of the target performance function is determined, and the invention can be widely applied to but not limited to the industrial fields of aerospace, automobile industry, processing and manufacturing and the like.

Description

technical field [0001] The invention belongs to the research field of online solution to the extreme value of the target performance function, and in particular relates to an online peak-seeking data processing method based on a mixed performance function. Background technique [0002] In engineering practice, due to the inevitable influence of measurement noise, how to measure multiple parameters under time-varying environmental conditions and quickly determine the peak position of the target performance function in the form of an unknown function has always been one of the urgent problems in engineering practice. one. To solve this problem, researchers and engineers have proposed many solutions, but the existing methods all have their inherent limitations. [0003] The modulation-demodulation scheme adopted by the classical gradient method relies on the system prediction lag that may seriously deviate from the expected value, and is not suitable for the system model with ...

Claims

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Application Information

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IPC IPC(8): G06F30/28G01M9/06G06F119/10
CPCG06F30/28G01M9/06G06F2119/10Y02T90/00
Inventor 田嘉懿吴以婷陶洋熊能王元靖林俊高川张林李聪健邓吉龙郭旦平杜钰锋
Owner INST OF HIGH SPEED AERODYNAMICS OF CHINA AERODYNAMICS RES & DEV CENT
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