摘要
由于某型发动机电子控制器在工作过程中,其控制结构会发生变化,因而它的主要控制通道的动态响应过程为分段线性数学模型。为了获得精确的数学模型,提出采用一种基于改进克隆选择算法的辨识算法。实验及仿真结果表明:该算法辨识的模型与实际系统接近,能准确辨识出系统的结构跳变时刻及其分段数学模型参数;与其他辨识算法相比,具有辨识精度高、计算稳定和适应性强等优点。
Due to the change of controller structure,the dynamic response of main control passage for aero-engine engine electronic control（EEC） can be described as two linear mathematic model.An improved clonal selection algorithm（CSA） for system identification was presented and applied to this variable system.The results show that this method is close to the actual system,and it can identify the system′s structure jumping time and parameters of the two models.Compared to other identification algorithms,it has high precision and fine stability as well as adaptability.
出处
《机械科学与技术》
CSCD
北大核心
2011年第2期313-316,共4页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(60672179)资助
