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微型涡喷发动机作为无人机、靶机及巡航导弹的主要动力,目前已成为研究的热点,为了研究微型涡喷发动机控制系统的需要,本文对其模型进行了辨识。模型辨识采用最小二乘法,通过将MATLAB自带的系统辨识工具箱辨识的发动机模型与用m语言编写的程序辨识的发动机模型相比较,得到较好的发动机模型。仿真试验表明:采用最小二乘法辨识出的模型输出与辨识对象的输出在小偏差范围内吻合度较高,误差处于规定的范围之内,达到了系统辨识的要求。
As the main driving force of UAV, target aircraft and cruise missiles, the micro-turbojet engine has become a hot spot nowadays. In order to study the need of the micro-turbojet engine control system, the model is identified in this paper. The least squares method is used to identify the model. By comparing the engine model identified by MATLAB with the system identification toolbox and the engine model written in m language, a better engine model is obtained. The simulation results show that the output of the model identified by the least squares method matches the output of the identification object within the small deviation range and the error is within the specified range, which meets the requirements of system identification.