建立复合轴跟瞄系统的总体控制结构和典型被控对象模型，分析图像延迟对跟瞄精度的影响。为补偿延迟，提高光束指向精度，根据粗精2级跟踪的视场耦合特点，提出利用粗跟踪脱靶量作为精跟瞄参考控制量的方法；针对粗、精系统间采样频率的差异，以及粗跟踪脱靶量的非线性和难以准确建模特性，采用基于LMS自适应滤波的方法，对粗、精跟踪脱靶量进行统计学习和滤波；最后，在典型被控对象的基础上建立系统仿真模型并进行验证，结果表明采用LMS自适应滤波后，跟瞄精度得到改善。
The general control structure of composite tracking-pointing system and typical controlled object model were established, and effect of image delay on tracking-pointing accuracy was analyzed. In order to compensate for the delay and improve accuracy, a method using coarse miss error as reference control quantity of fine tracking-pointing system was proposed according to the coupling characteristics of coarse and fine view field. Because of the sampling frequency difference between coarse and fine tracking system, and the characteristics of nonlinear and difficult to accurately model the coare miss error, a statistical learning and filtering prediction of coarse and fine miss error were carried out base on LMS adaptive filtering. Last, the system simulation model was established and verified based on the typical controlled object, results show that the tracking-pointing accuracy was improved obviously by using LMS adaptive filtering.
2023,45(12): 168-172 收稿日期：2022-10-19
DOI：10.3404/j.issn.1672-7619.2023.12.034
分类号：TP273.1
作者简介：闫智辉(1976-),男,高级工程师,研究方向为伺服控制技术
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