刘鹏寅,徐忠平.基于自适应优化方法的响应时间数据分析[J].民用飞机设计与研究,2019,(3):71-75
基于自适应优化方法的响应时间数据分析
  
DOI:10.19416/j.cnki.1674-9804.2019.03.013
中文关键词:温度传感器  响应时间  序贯优化算法  Kriging代理模型
英文关键词:temperature sensor  response time  sequential optimization algorithm  Kriging surrogate method
基金项目:
作者单位
刘鹏寅,徐忠平 上海飞机制造有限公司上海 201324 
中文摘要:温度传感器的响应时间是其重要的特性参数,反应了其动态测试性能。在实际测试中,对于响应时间测试数据采用人工读取的方法得到结果,存在人为因素较多,响应时间结果多次读取不一致,精度难以统一的问题。因此提出采用基于Kriging代理模型的自适应序贯优化方法对测试数据进行寻优拟合计算。通过理论阶跃响应曲线的拟合结果,并加入适当修正,最终得到温度传感器的响应时间计算结果。计算结果表明,该方法可以自动精确计算得到温度传感器的响应时间结果,同时可以对同一温度传感器的多次测试数据进行对比量化判断。与传统人工读取方法相比,该方法具有计算精度统一,自动高效,人为因素较少等优势。
英文摘要:Response time of temperature sensor is one important parameter which describes the dynamic test performance of temperature sensor. If the response time results were obtained by manual method during response time test, there would exist some problems, such as human factors, different results obtained from same response time data and different precision. Hence, the adaptive sequential optimization algorithm based on Kriging surrogate method was pro-posed to optimization fit against response time data. Through the theory step response curve fit with proper correction, the response time of temperature sensor was calculated. The results show that the proposed method could not only calculate the response time results automatically and precisely but also have the ability to make a quantification comparison with different test data of one same temperature sensor. Compared with the traditional manual method, the pro-posed method has the advantage that it has unified calculate precision, higher efficiency, and less human factors.
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