基于CP FODT实时数据处理技术稳健性研究

为改善飞行器实时数据处理中端点附近数据解算精度差、状态预估不准确的问题，提出并证明三次多项式一阶导数定理(CP FODT)，对基于该定理的一阶导数解算方法的实时数据处理性能进行了研究.通过仿真计算研究了拟合区间长度、测量误差限及采样间隔对于计算结果的影响，对解算误差进行了分析，给出参数选取的基本原则，并采用实测数据对解算效果进行了验证.验证表明该算法对于实时数据处理具有较高的稳健性和可靠性，可提高端点附近数据的解算精度和预测的准确度，并可衍生为插值算法，能够为实时数据处理提供高精度的数据源.

Robustness of an CP FODT Based Algorithm for Real Time Data Processing

To improve the precision in calculation and state prediction of real time data near the endpoints of measurement sequence, the cubic polynomial first order derivative theorem (CP FODT) is put forward and proved, and a new algorithm based on CP FODT is researched for calculating the first order derivative of real time data. How the sampling length, measure error bounds and sampling interval affect the results is shown by simulation calculation. The errors are analyzed, and some basic principles of parameter selection are given. Verification of the algorithm is made by measurement, and the results indicate that it is very robust and reliable. Not only can this algorithm improve the precision in calculation and state prediction of real time data near the endpoints of measurement sequence, but also some interpolation algorithms can derive from it. So, it can provide high accurate data.