摘要
飞机在进行地面试验时,模拟环境用于模拟飞机在空中飞行时的环境温度。由于存在干扰以及其他未知因素,难以精确建立模拟环境温度的数学模型,从而限制了经典估值理论的应用。本文利用逼近原理,给出了模拟环境温度的广义线性模型和与之相应的广义卡尔曼滤波,实现了模拟环境温度的滤波和温度变化趋势的多点预报和模拟环境的温度控制;文章还给出了模拟环境温度控制的决策原则和控制流程;最后通过2个算例,证明了模拟环境温度广义线性模型对于连续系统应用的广泛适用性和鲁棒性。
When the airplane is tested on the ground, the airplane-ground-air-condition-vehicle is used to simulated the flying temperature environment as the airplane is in the sky. Due to the influence of interference and the known factors, it is difficult to set up the mathematic model of temperature of the simulated environment （SE）. Thus the application of the classical estimate theory will be limited. Using approaching principle the generalized linear model （GLM） of the SE and the generalized Kalman filter （GKF） had been given in this paper and multi-point temperature trend forecast can be completed by way of the GLM and the GKF and there is very good real-time. Then, both the control decision principle and control process were all provided in this paper. Lastly, the universally applicability and the robustness of the GLM were also respectively proved by two examples.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2006年第12期1656-1659,共4页
Chinese Journal of Scientific Instrument
关键词
飞机地面试验
广义线性数学模型
广义卡尔曼滤波
模拟环境
趋势预报
airplane-ground-test generalized linear model generalized Kalman filter simulated environment trend forecast
