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以Y12飞机起飞性能飞行试验实测数据为例,研究了利用极大似然法进行飞机起飞性能参数辨识的问题。首先通过理论分析建立了Y12飞机双发起飞性能数学模型;然后从简化灵敏度导数计算角度提出了以飞机在起飞滑跑过程中速度增量为观测量的观测方程,分析给出了待辨参数和利用极大似然法进行参数识别的方法;最后针对极大似然法的几个要素,如迭代初值、代价函数、迭代次数、样本长度、试验数据段的选取等对辨识结果的影响进行了讨论和分析。结果表明,利用极大似然法可以快速、准确地辨识出起飞性能所需的参数,并具有较高的精度,在今后的性能飞行试验数据分析中应注重推广和应用。
Taking Y12 flight takeoff flight test data as an example, the issue of using maximum likelihood method to identify aircraft takeoff performance parameters is studied. First of all, the mathematical model of the launch-takeoff performance of Y12 aircraft is established through theoretical analysis. Then, the observation equation of the speed increment of the aircraft during take-off and landing is put forward from the viewpoint of simplifying the sensitivity derivative calculation. Finally, some factors such as the initial value of iteration, the cost function, the number of iterations, the sample length, the selection of the experimental data segment and so on are used to determine the influence of the identification result Discuss and analyze. The results show that the maximum likelihood method can quickly and accurately identify the required parameters for takeoff performance and has high accuracy. In the future, the data analysis of performance flight test should be promoted and applied.