一种线性辨识系统动态模型的自寻优算法

An Automatic Optimization Algorithm for the Linear Identification of System's Dynamic Model

基于静态特性已知的线性时变系统,通过对其动态响应数据的分析,建立了随时间跳变的动态参数模型,提出了一种新的线性自寻优辨识算法。该算法在静态特性约束条件下,可估计模型的跳变时刻及结构参数。经对某航空发动机电子综合调节器燃油通道动态过程参数模型辨识的实例,验证了该算法精确快速。

Aiming at linear time-varying, systems of which the static state characteristic is known, and through the analysis of the dynamic response data, a new linear model jumped by time is set up and an automatic optimization identification algorithm is programmed. And through this automatic optimization identification algorithm, jumping-times and parameters of the model are estimated. Through the analysis of a system identification example of X aero-engine EEC (engine electronic controller) ,the result shows this method is effective.