发动机性能量与输入量的相关性研究

A RESEARCH ON CORRELATION OF ENGINE PERFORMANCE PARAMETERS TO INPUTS

展开了相关性研究，讨论了一种相关性分析的算法，并在此基础上进行了大量的数字仿真实验，结果表明通过相关性分析不但可减少计算工作量，而且即使在传感器有限的情况下，模型也可很好的跟踪发动机。

A correlation analysis algorithm has been researched to find out correlation among model updates,engine inputs and its component performance.This work is required for development of an on-board real-time engine model which is based on component tracking filters,and also is significant for modern control algorithm and analytical redundancy technique to be applied to engine control.The results of numerical simulation show that the correlation analysis not only can reduce calculation work,but also enable the model developed track and match engine very well,even under the condition that the number of sensors is limited.