摘要：根据控制系统模型选取适当控制参数是决定系统性能的关键。为了提高机载光电平台的性能指标，采用系统辨识得到平台控制系统模型，并依此设计平台的锁定回路。首先利用Matlab的xPC组件及平台硬件搭建了半实物仿真平台，接着建立了系统辨识模型，通过以伪随机信号为激励进行半实物仿真，得到了平台的陀螺信号输出，然后利用输入输出数据在系统辨识工具箱中进行辨识，得到了平台的控制系统模型，并依此模型设计了锁定回路。通过实测模型前后设计系统的锁定精度仿真表明：在实测模型进行设计后平台的锁定精度由26′提高到03′。该辨识方法已成功应用于某型机载光电平台中，由此设计的平台锁定精度、稳定精度、跟踪精度都得到了很大提高，同时在其它型号中也得到了广泛应用。
关键词：系统辨识；模型；锁定精度
Abstract: Selecting right parameter is important to system performance according to control system model. In order to improve performance of airborne photoelectric platform, control system model was gained by system identification, then locking loop was designed. First hardwareintheloop simulation platform was established with xPC of Matlab and platform hardware, then system identification model was constructed. Gyro signal output was got by hardwareintheloop simulation using pseudorandom signal as input, then platform control system model was gained by identification using inout data in identification toolbox, finally locking loop was designed according to this model. Simulation showed that locking precision was improved from 26′ to 03′ based on experimental model. This way has been applied to certain airborne photoelectric platform, the locking, stabilization and tracking precision were improved greatly, at the same time it has been applied widely to other item.
Key words: system identification; model; locking precision