An Improved Genetic Algorithm for Flight Load Measurements
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摘要: 应变电桥选择直接决定着飞行载荷测量的精度。通过消除不相关应变电桥,给出了一种适用于飞行载荷测量应变电桥选择的改进遗传算法。通过和穷尽搜索法及传统遗传算法的比较,分析了该改进遗传算法的性能,并将该算法应用于某起落架载荷测量。结果表明:该改进遗传算法可获得具有可接受精度及较小不相关性的高质量载荷方程。Abstract: The selection of strain gages is important in determining flight loads by strain gage measurement, which has large effects on the prediction of load equations. An improved genetic algorithm of selecting strain gages in the measurements of flight loads was proposed in this paper by considering the elimination of the irrelevant gages. Also, the performances of improved genetic algorithm were analyzed compared with those of exhaustive search and genetic algorithms. Further, the improved genetic algorithm was applied to select the strain gages in the load measurements of certain landing gear. The test example shows that the improved genetic algorithm in this paper could obtain the high-quality load equations with acceptable accuracy and small irrelevance.
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Key words:
- flight load /
- strain gage /
- genetic algorithm /
- improved genetic algorithm /
- irrelevancy
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