基于粒子群算法的飞机燃油箱热参数反演

Inversion of thermal parameters of aircraft fuel tank based on particle swarm optimization

为获取用于定量评估可燃性的飞机燃油箱热参数,从集中参数法建立燃油箱热模型的假设出发,基于粒子群算法和飞行试验数据,对某型飞机中央油箱热参数的反演进行了探索。选取了4种不同的参数作为目标函数,对比研究了目标函数的选取对热参数反演结果的影响。研究结果显示:反演得出的燃油箱热参数模型,其输出值与试验值变化规律一致,证明了该方法的有效性;其次以整体均方差为目标函数的反演结果与试验值最为吻合,模型输出值与试验值最大偏差为2.62 K;最后对整体均方差增加惩罚项的措施能够使反演后热参数模型满足适航规章的要求。

In order to obtain the thermal parameters of aircraft fuel tank for quantitative evaluation of flammability, relying on the assumption of establishing fuel tank thermal model with lumped parameter method, the inversion of thermal parameters of a certain aircraft central fuel tank was explored based on particle swarm optimization algorithm and flight test data. Four different parameters were selected as the objective functions to study the influences of the selection of the objective function on the inversion results of thermal parameters. Results showed that the output value of the fuel tank thermal parameter model was consistent with the experimental value, which proved the effectiveness of the method;the maximum deviation between the model output and the experimental value was 2.62 K;finally, adding a penalty term to the overall mean square error could make the inversion thermal parameter model meet the requirements of airworthiness regulations.