飞行数据处理的非线性鲁棒滤波技术

Non Linear Robust Filtering for Flight Test Data Processing

研究了飞机飞行试验数据处理中的非线性鲁棒滤波技术。分析给出了实际飞行条件下一种飞机运动的新模型，它是含不确定参数项的非线性模型，同时给出了该不确定参数项的解析表达形式。然后研究了对应于此类非线性不确定系统的鲁棒滤波算法，得到了该滤波问题的充分解。并对该解进行扩展线性化处理，得到了一个较易实现的扩展鲁棒滤波算法。最后利用该算法对实际的飞行数据进行了处理，结果表明，所提出的算法是切实可行的。

This paper deals with the filtering method for flight data. Considering the practical flight condition, a new non linear uncertain system model for airplane flight is deduced,and an explicit expression of the uncertainties is also given. Then the robust filter problem for this system is studied, and a sufficient solution is designed. For easy application, a new robust filter, which is the extended linearizing realization of the solution, is provided. Practical results show that the new robust filter is effective in flight test data processing.