航空发动机风扇转速融合EKF算法及其信号闭环仿真研究  

An EKF Algorithm and Its Signal Closed-loop Simulation for Aero-engine Fan Speed Fusion

作　　者：焦旭东[1] 何金辉 JIAO Xudong;HE Jinhui(Xi’an Aeronautical Polytechnic Institute,Xi'an 710089,China;Zhongsheng Environmental Technology Development Co.Ltd.,Xi'an 710065,China)

机构地区：[1]西安航空职业技术学院,陕西西安710089 [2]中圣环境科技发展有限公司,陕西西安710065

出　　处：《工业加热》2020年第9期17-20,共4页Industrial Heating

基　　金：西安航空职业技术学院院级课题(19XHZK-010)。

摘　　要：基于航空发动机安全性与稳定性,以卡尔曼滤波原理为依据,设计风扇转速融合EKF算法,根据发动机热力参数融合的转速信号为反馈,进行信号闭环控制仿真。仿真结果表明,信号闭环控制性能良好,符合通过物理传感器信号反馈的个性化指标要求,可确保风扇传感器失效状态下依旧能够高精确把控转速指令;基于仿真明确指出了稳定性与可靠性优化具体方向,发现三参数合成融合算法的控制性能与稳定性最佳,是最理想化的风扇转速融合EKF算法。Based on the safety and stability of aeroengine,and based on Kalman filter principle,the EKF algorithm of fan speed fusion is designed.Simulation results show that the closed-loop control performance of signal is good,which meets the requirement of personalization index feedback through physical sensor signal,and ensure the fan sensor to control the speed command with high precision under the failure state of fan sensor.Based on the simulation,the specific direction of stability and reliability optimization is pointed out.It is found that the control performance and stability of the three-parameter synthesis fusion algorithm is the best,which is the most ideal fan speed fusion EKF algorithm.

关 键 词：风扇 EKF算法 转速 信号闭环控制 

分 类 号：TM743[电气工程—电力系统及自动化]