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磁屏蔽装置结构参数的组合优化方法 被引量:2

Parameter Optimization of Magnetic Shielding Device Based on Combination Optimization Method
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摘要 针对磁屏蔽装置结构参数优化问题,将解析法计算简单和数值法计算精确的优点相结合,提出一种"解析+数值"组合优化方法。确定装置的磁屏蔽性能计算是否存在解析表达式,若难以得到解析表达式,则采用人工神经网络建立其磁屏蔽性能计算模型,得到其"黑箱解析式";采用智能优化算法在短时间内对解析式或"黑箱解析式"进行快速"粗"寻优,进而以此为基准,再采用数值法在一次寻优结果附近进行小步长精细扫描计算,实现"精"寻优;采用交互验证的方式确认寻优结果的可信度。对双层圆柱形和单层矩形磁屏蔽装置的结构参数进行优化,结果表明"解析+数值"这种从"粗"到"精"的组合寻优方法是正确的,该方法得到的优化结果比纯解析优化得到的结果具有更高的可信度。 An "analytic + numerical" optimization method is proposed for the structural parameter optimization of magnetic shielding device, which combines the calculation simplicity of analytic method and the high calculation accuracy of numerical method. First, it is necessary to judge whether there is an analytical expression for the calculation of magnetic shielding performance. If it is difficuh to obtain the analytical expression, the artificial neural network can be used to establish a calculation model, and a "black box analytical expression" is obtained. The intelligent optimization algorithm is used for quick "rough" optimization for analytical expression or "black box analytical expression" in a short time. And then the numerical method is used for the fine scanning calculation based on the "rough" optimal solution to achieve a "fine" optimization. The credibility of the optimized resuhs is confirmed by cross-validation. The structural parameter optimization of double layer cylindrical and single layer rectangular magnetic shielding devices were simulated. The simulated results show that the coarse-to-fine optimization method is correct, and has higher reliability than pure analytical optimization.
作者 吕志峰 赵欣 张金生 王仕成 李婷 LYU Zhi-feng;ZHAO Xin;ZHANG Jin-sheng;WANG Shi-cheng;LI Ting(Laboratory of Precision Guidance and Simulation,Rocket Force University of Engineering,Xi'an 710025,Shaanxi,China)
出处 《兵工学报》 EI CAS CSCD 北大核心 2018年第11期2211-2219,共9页 Acta Armamentarii
基金 国家自然科学基金项目(61503393 11602296)
关键词 磁屏蔽 结构参数优化 组合优化 交互验证 magnetic shielding structural parameter optimization combinatorial optimization crossvalidation
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