论文部分内容阅读
精确的精跟踪系统模型为研究精跟踪的控制算法,找到影响其动态、静态性能的关键因素提供了重要的条件。设计了精跟踪辨识系统,该系统包括:快速倾斜镜、CCD、DA以及相关的电子设备。精跟踪模型传统上被认为是一个二阶系统,通过输入输出数据、模型类和最小二乘等价准则等一系列过程确定精跟踪的模型。为了评估该辨识方法的性能,将最小二乘辨识法得到的模型与传统的频率响应法得到的模型做比较。通过验证发现,两种模型的输出与实际系统输出的模型残差平方和分别为8.20和89.52,相关系数分别为0.98和0.95。结果表明,最小二乘法得到的精跟踪模型比频率响应法得到的模型更准确地反映出实际系统的特性。
Precise precision tracking system model for the study of fine tracking control algorithm to find the key factors that affect its dynamic and static performance provides an important condition. A precision tracking system is designed. The system includes a fast tilt mirror, CCD, DA and related electronics. Trajectory tracking model is traditionally considered as a second-order system, which determines the refined tracking model through a series of processes such as input and output data, model classes and least-squares equivalent criteria. In order to evaluate the performance of this method, the model obtained by the least square method is compared with that obtained by the traditional frequency response method. The verification shows that the square residuals of the model output and the actual system output are 8.20 and 89.52 respectively, and the correlation coefficients are 0.98 and 0.95 respectively. The results show that the refined tracking model obtained by the least squares method reflects the characteristics of the actual system more accurately than the model obtained by the frequency response method.