• 摘要: 为了抑制倾斜校正系统中的时变扰动,提出了一种基于特征扰动频率辨识的自适应扰动抑制方法。采用最小均方误差准则对闭环系统误差进行特征扰动频率辨识,以实现自适应控制器参数的在线调整,且将辨识的滤波参数与控制器调整并行化设计。同时提出频率分割的方法,将低频扰动以及高频扰动的抑制相结合,进一步提高了特征频率辨识速度以及简化设计流程,实现对闭环带宽内的扰动自适应抑制。所提出的方法在倾斜校正装置中进行了闭环验证,实验结果表明该方法能快速辨识特征扰动并自适应调节控制器,可以在单频或多频时变扰动下提升系统的闭环性能。

       

      Abstract: In order to suppress the time-varying disturbance in the tip-tilt correction system, an adaptive disturbance suppression method based on characteristic disturbance frequency identification is proposed in this paper. The least mean square error criterion is used to identify the characteristic disturbance frequency of the closed-loop system error, and the identified filtering parameters and controller adjustment are designed in parallel. At the same time, a method based on frequency splitting is proposed: combining low-frequency disturbance with high-frequency disturbance suppression, which further improves the speed of characteristic frequency identification and simplifies the design process, and realizes adaptive disturbance suppression in the closed-loop bandwidth. The closed-loop verification of the proposed method is carried out in the tip-tilt correction device. The experimental results show that the method can quickly identify the characteristic disturbance and adaptively adjust the controller, which can improve the closed-loop performance of the system under single-frequency and multi-frequency time-varying disturbance.