论文部分内容阅读
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。
The non-linear robust filtering in aircraft flight test data processing is studied. A new model of aircraft motion under actual flight conditions is given. It is a nonlinear model with uncertain parameters and the analytical expressions of the uncertain parameters are given. Then the robust filtering algorithm corresponding to such nonlinear uncertain systems is studied and a sufficient solution of the filtering problem is obtained. And extended the linearization of the solution to obtain a more easily extended robust filtering algorithm. Finally, the algorithm is used to process the actual flight data. The results show that the proposed algorithm is feasible.