An Improved Genetic Algorithm for Landing Gear Load Measurement by Eliminating Redundancy-Reference-Cited by-同舟云学术

An Improved Genetic Algorithm for Landing Gear Load Measurement by Eliminating Redundancy

Published:2014-02 Issue: Volume:518 Page:264-268
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Zhao Yan¹,Li Zhi Rui¹,Jiang Qi Deng¹

Affiliation:

1. Chinese Flight Test Establishment

Abstract

An improved genetic algorithm for determining landing gear load was proposed by considering the elimination of the redundant strain gages. Exhaustive search (ES), genetic algorithm (GA) and improved genetic algorithm (IGA) were compared for building load equation of certain landing gear. Also, the sensibility of IGA to parameter K was analyzed. The results show that the validation errors of load equations from 3 methods are almost comparable, while the redundancy from IGA is less than those from ES and GA, and IGA is not very sensitive to parameter K between 0 and 1.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.518.264.pdf

Reference4 articles.

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2. T.H. Skopinski, W.S. Aiken, W. B. Huston , Calibration of Strain-Gage Installations in Aircraft Structures for Measurement of Flight Loads, NACA Report 1178, (1954).

3. S. A. Nelson, Strain Gage Selection in Loads Equations Using a Genetic Algorithm, NASA Contractor Report 4597, (1994).

4. Y. Zhao, S. Gao, D.Y. Zhang, An improved genetic algorithm for flight load measurements, Mechanical Science and Technology for aerospace engineering, 31(2012)1265-1269. (in Chinese).

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