This paper studies a data experiment and identification problem of an actual system , in which the steering gear and the satellite - satellite pointing / tracking system act as the study object , based on system identification technique . the main factors that influence identification results and problems that should be paid attention to are analyzed . base on the analysis , auto - regressive moving average with exogenous input model ( armax ) for steering gear and a three - layer predictive control neural network model are established 从理论的角度研究了对于一个实际系统的数据实验设计和模型辨识问题,分析了影响系统辨识结果的主要因素以及在辨识过程中应注意的问题,并以此为依据,建立了舵机的滑动平均模型和星星天线指向控制系统的三层预测控制神经网络模型。
A multiloop antenna pointing controller has been designed while three feedforward schemes are used in this control design . the simulation results show that the antenna pointing control system can improve the precision of the attitude angle and the attitude angle rate , and the antenna can slew to the neighborhood of tdrs fast , search and then track tdrs 在设计好的天线跟踪指向控制系统基础上,采用前馈+反馈的复合控制策略设计了复合控制器,仿真结果表明设计的天线指向控制系统能够较好的提高星体的姿态稳定度和控制精度,天线能够快速回扫至中继卫星附近并进行跟踪,天线指向精度满足设计要求,表明了所设计的天线指向控制系统的合理性和有效性。
