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星间激光通信组网中改进自抗扰控制研究

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为提高星间激光通信组网跟踪精度和光能量利用率,研究了一对多激光通信端机的控制策略.分析了一对多粗跟踪光学天线的结构和控制系统组成,针对实际控制中系统包含的内外部扰动,根据自抗扰控制设计了结合卡尔曼滤波的模型辅助扩张状态观测器,以提升扰动估计能力,并用期望频率响应法设计了控制器.对所提算法进行仿真,根据实际约束条件完成参数整定,仿真结果表明所设计的控制算法相比线性自抗扰和传统控制算法具有更强的跟踪性能和扰动抑制能力.搭建室内平台进行实验,结果表明,所设计的控制算法相比传统控制算法,对主镜的控制精度提高了34%,对从镜的控制精度提高了40%,总体控制精度得到显著提高.
Improved Active Disturbance Rejection Control in Inter-Satellite Laser Communication Network
Objective Compared to the mainstream microwave communication methods,laser communication offers advantages such as high data rate,large capacity,compact size,low power consumption,and strong confidentiality. As satellite laser communication becomes increasingly practical,laser communication networking has emerged as a crucial research direction and foundational technology for future space-based communication. However,the narrow beam divergence of laser limits them to point-to-point communication,making them unsuitable for the wide coverage typically achieved with radio frequency communication. Achieving multi-beam,high-precision control under complex space conditions is one of the key challenges in inter-satellite laser communication networking. Currently,most laser communication tracking servo systems utilize the proportional-integral-derivative (PID) control algorithm. While there have been improvements to traditional control algorithms and applications of modern control methods,issues such as low control accuracy and application difficulty remain. In this study,we propose an improved active disturbance rejection control (ADRC) algorithm designed to improve control accuracy in laser communication networking.Methods The control strategy for a one-to-many laser communication terminal is studied. The structure and control system of a one-to-many coarse tracking optical antenna are analyzed. Based on ARDC principles,a model-assisted extended state observer combined with a Kalman filter is developed to improve disturbance estimation. The controller is designed using the desired frequency response method. Simulations are conducted,followed by experiments on an indoor platform.Results and Discussions In linear ADRC,the system is treated as a simple integrator chain when designing the control law. By incorporating known model information into the design of the extended state observer,we overcome the performance limitations of traditional observers. Thermal noise and ambient light can affect the positioning accuracy of the four-quadrant detector. While code division multiple access (CDMA) techniques can reduce background light interference,they cannot fully eliminate it. Therefore,a Kalman filter is introduced before the extended state observer to reduce overall measurement error,with its output serving as input for the observer. The controller is designed using the desired frequency correction method,which is known for stable performance and ease of implementation. Modeling errors and external disturbances are compensated for by the improved extended state observer,bringing the actual system model closer to the ideal model. Simulation results indicate that the Kalman filter effectively suppresses high-frequency noise. Under traditional PID control,the peak tracking residual is 1.71°,with a root mean square (RMS) of 0.95°. For linear ADRC control,the peak is 1.21° and the RMS is 0.75°. With the improved linear ADRC,the peak tracking residual is reduced to 0.92°,with an RMS of 0.38°,significantly outperforming both PID and linear ADRC controls. In the experiments,the error peak for the primary mirror under PID control is 171.2 μrad,with an RMS of 69.66 μrad. With the improved ADRC,the error peak is reduced to 134.1 μrad,with an RMS of 45.50 μrad. For the slave mirror linkage control,the error peak under PID control is 33.81 μrad,with an RMS of 11.49 μrad,while the improved ADRC reduces these values to 20.22 and 6.81 μrad,respectively. These results show that the control accuracy for the primary mirror improved by 34.6% compared to PID control,and for the slave mirror,by 40%. The consistency between the simulation and experimental results verifies the effectiveness of the proposed control algorithm.Conclusions To enhance disturbance estimation,known model information is incorporated into the extended state observer. To mitigate the effect of noise from the four-quadrant detector,a Kalman filter is applied before the observer's input. In addition,loop bandwidth compensations are integrated into the controller design. Experimental results demonstrate that the tracking accuracy for the dual spot is better than 50 μrad,with a 34% improvement over traditional algorithms. This confirms the feasibility of applying the improved ADRC to multi-beacon tracking scenarios,highlighting its advantages over traditional control methods and its potential to support laser communication applications in inter-satellite networking.

laser communication networkingactive disturbance rejection controlKalman filterfour-quadrant detector

高运普、刘洋、滕云杰、刘建华、赵思思、尚卫东

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长春理工大学光电工程学院空间光电技术研究所,吉林 长春 130022

长春理工大学空间光电技术国家地方联合工程研究中心,吉林 长春 130012

北京空间机电研究所,北京 100000

激光通信组网 自抗扰控制 卡尔曼滤波 四象限探测器

2024

光学学报
中国光学学会 中国科学院上海光学精密机械研究所

光学学报

CSTPCD北大核心
影响因子:1.931
ISSN:0253-2239
年,卷(期):2024.44(21)