Adaptive ADRC for the Fine Tracking System in Inter-satellite Laser Communication Based on Improved ESO
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摘要: 星间激光通信中的光束指向误差会显著降低链路质量. 精跟踪系统因其高带宽特性, 主要负责对高频扰动进行实时修正. 针对精跟踪环节所面临的高频扰动, 传统自抗扰控制(ADRC)在扰动估计与补偿方面仍存在性能瓶颈. 本文考虑一种特殊的干扰形式, 并基于此构造具备频率分离能力的改进扩张状态观测器(ESO), 实现对快慢变扰动的解耦. 在此基础上提出一种融合自适应滤波的自适应ADRC框架, 该方法在传统ADRC框架基础上, 引入并联自适应滤波器, 通过滤波器权重在线更新实现对光束指向误差的自适应抑制, 提升系统在高频干扰下的控制性能. 实验结果表明, 所提方法相比传统控制方法具有更强的扰动抑制能力.Abstract: Beam pointing errors in inter-satellite laser communication can significantly degrade the link quality. The fine tracking system, characterized by its high bandwidth, is primarily responsible for real-time correction of high-frequency disturbances. However, traditional active disturbance rejection control (ADRC) exhibits limited performance in estimating and compensating high-frequency disturbances in the fine tracking stage. To address this problem, this paper considers a specific form of disturbance, based on this formulation, we construct an improved extended state observer (ESO) with frequency separation capability to decouple slow-varying and fast-varying disturbances. Based on the improved ESO, an adaptive ADRC framework incorporating an adaptive filter is proposed. The proposed method enhances the conventional ADRC framework by introducing a parallel adaptive filter, which enables adaptive suppression of the beam pointing errors is achieved through online weight updating, thereby improving the system's control performance under high-frequency disturbances. Experimental results demonstrate that the proposed method outperforms conventional control methods in disturbance rejection.
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图 5 激光通信捕跟控制算法实验平台
Fig. 5 Experimental platform for laser communication acquisition and tracking control algorithm
图 9 复合干扰下慢变干扰的观测
Fig. 9 Observation of slow-varying disturbance under composite disturbance
图 11 复合干扰下集总干扰的观测
Fig. 11 Observation of total disturbance under composite disturbance
图 10 复合干扰下快变干扰的观测
Fig. 10 Observation of fast-varying disturbance under composite disturbance
图 12 本文方法与传统ESO对比((a)估计结果; (b)估计误差)
Fig. 12 Comparison between the proposed method and traditional ESO ((a) Estimation results; (b) Estimation errors)
图 13 快变干扰估计与慢变干扰估计的FRF曲线
Fig. 13 Fast-varying disturbance estimation and slow-varying disturbance estimation FRF curves
图 14 光束抖动抑制实验的时域响应曲线
Fig. 14 Time-domain response curves of beam jitter suppression experiment
图 15 不同方法的控制效果((a) $30 \sim 35$s内的功率谱密度; (b) $55 \sim 60$s内的功率谱密度)
Fig. 15 Control effects of different methods ((a) Power spectrum density in $30 \sim 35$s; (b) Power spectrum density in $55 \sim 60$s)
表 1 星上主要扰源及其干扰形式
Table 1 Main disturbance sources on the satellite and their disturbance forms
扰源 干扰形式 反作用飞轮、控制力矩陀螺、动量轮 多频线谱和宽频噪声 天线等驱动机构 多频线谱和宽频噪声 三浮陀螺 宽频噪声 磁力矩器 宽频噪声 
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表 2 激光通信捕跟控制算法实验平台中快反镜的参数
Table 2 Parameters of fast steering mirror in experimental platform for laser communication acquisition and tracking control algorithm
方向 $ a_1 $ (1/s) $ a_2 $ (1/$ {\rm{s}}^2 $) b ($ 10^{-6} {\rm{rad}}/({\rm{s}}^2 \cdot V) $) x 1 809 $ 7.301 \times 10^6 $ $ 6.079 \times 10^6 $ y(真实器件) 1 981 $ 7.487 \times 10^6 $ $ 4.736 \times 10^6 $ y(控制器设计) 1 809 $ 7.301 \times 10^6 $ $ 6.079 \times 10^6 $
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表 3 实验中使用的控制器参数
Table 3 Parameters of controllers used in experiment
本文方法 PID 传统LADRC FxLMS+PID σ $ 2\times 10^{-6} $ - - - $ k_p $ 0.43 0.43 0.95 0.43 $ k_i $ 1 339 1 339 - 1 339 $ k_d $ $ 3.5 \times 10 ^{-5} $ $ 3.5 \times 10 ^{-5} $ $ -3.5 \times 10 ^{-5} $ $ 3.5 \times 10 ^{-5} $ $ \omega_o $ 400 - 400 - μ $ \mathrm{1\times 10^{-6}} $ - - $ 5\times 10^{-8}(x) $, $ 3\times 10^{-6}(y) $ M 128 - - 128
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表 4 改进ESO与传统ESO估计性能对比(V)
Table 4 Comparison of estimation performance between improved and traditional ESO (V)
最大绝对误差 平均误差 均方根误差 传统ESO x轴 $ {\bf 0.995} $ $ \bf -0.026 $ $ {\bf 0.487} $ y轴 $ {\bf 1.119} $ $ -0.041 $ $ {\bf 0.492} $ 改进ESO x轴 $ 1.038 $ $ \bf -0.026 $ $ 0.499 $ y轴 $ 1.137 $ $ {\bf -0.040} $ $ 0.504 $
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表 5 不同控制方法下指向误差的均方根($ 10^{-6} $rad)
Table 5 RMS of pointing error under different methods ($ 10^{-6} $rad)
控制方法 x轴 y轴 $ 30 \sim 35 $s $ 55 \sim 60 $s $ 30 \sim 35 $s $ 55 \sim 60 $s 无控制 100.26 101.10 93.15 94.13 传统LADRC 51.54 52.71 52.52 53.30 PID 31.45 34.73 25.45 27.03 FxLMS+PID 32.60 35.54 8.04 8.73 本文方法 8.08 8.04 5.30 5.35
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