基于人工智能技术的可变形镜六边形支架结构优化

2009 IEEE International Conference on Network Infrastructure and Digital Content Pub Date : 2009-12-31 DOI:10.1109/ICNIDC.2009.5360971

Fu Zhao, Y. Gong, Li Zhang, H. Xiang, Ping Wang

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引用次数: 0

摘要

考虑到变形镜支撑结构优化的复杂性，提出了一种多变量结构的智能优化方法。在有限元软件实现模态分析的基础上，采用正交试验、人工神经网络(ANN)和遗传算法(GA)相结合的方法对DM六边形支撑结构的结构参数进行优化。最后，对优化后的支撑结构进行了随机振动分析，结果表明基于人工智能技术的优化方法是有效的。

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Structural optimization for deformable mirror hexagon support based on artificial intelligence technology

Taking account of the complexity of optimization of the deformable mirror support structure, this paper puts forward an intelligent optimized method for multi variable structure. On the basis of modal analysis which is implemented by the finite element software, a method combining orthogonal experiment, artificial neural network (ANN) and genetic algorithms(GA) is applied to optimization of the structural parameters for the DM hexagon support structure. Finally, the random vibration analysis is given for the optimized support structure and the results indicate the optimization method based on artificial intelligent technology is effective.

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2009 IEEE International Conference on Network Infrastructure and Digital Content

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