面向高精度航天器状态估计系统的预测变结构滤波理论研究

项目名称： 面向高精度航天器状态估计系统的预测变结构滤波理论研究

项目编号： No.61503414

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 曹璐

作者单位： 中国西安卫星测控中心

项目金额： 20万元

中文摘要： 高性能的滤波技术是高精度航天器状态估计技术的理论基础与核心，因此，针对滤波精度高、鲁棒性能强且计算量有限的滤波理论研究是提高航天器状态估计水平的关键所在。但是，由于航天任务的特殊性，航天器系统往往具有较强的非线性和不确定性，这就导致传统的滤波方法难以满足上述要求。为此，本项目将对一种新型滤波器——非线性预测变结构滤波器进行深入研究，该滤波器具有精度稳定，计算量小且无需满足高斯白噪声假设等优点，是一种理想的非线性滤波方法。结合高精度航天器的理论需求与技术特点，从高精度算法优化设计、鲁棒性能研究和数据融合三个方面入手重点突破，提出了一系列满足不同航天任务需求的滤波方法。通过探讨在高精度航天器状态估计中的应用，验证所提出理论方法的可行性和有效性。此外，本项目的研究将建立较为系统、完善的预测变结构滤波理论体系，为在其他领域的推广应用提供较好的理论基础。

中文关键词： 非线性预测变结构滤波；非线性状态估计；航天器状态估计

英文摘要： High-performance filtering technology is the theoretical basis and core for the state estimation of spacecraft with high-precision; therefore, the filtering theory research for high-precision, robustness and low calculation burden is the key to improve the technology level of spacecraft state estimation. However, due to the particularity of space missions, the traditional filter theories are difficult to meet the above technical requirements with the existence of the strong nonlinearity and uncertainty. Hence, this project will focus on a new type of filtering technology——Nonlinear Predictive Variable Structure Filter with in-depth research and exploration. Due to the filter has the advantages of stable precision, low calculation burden and don’t need to satisfy the Gaussian white noise assumption, which is a kind of ideal nonlinear filtering method. Considering the theoretical requirements and technical characteristics of high-precision spacecraft, the three aspects are chosen for the breakthrough of theoretical research, such as algorithm optimal design, robust research and data fusion. As a result, a series of filter methods are put forward to meet different demands of the spacecraft. By discussing the applications in the high precision spacecraft, the feasibility and effectiveness will be verified for the proposed filter methods. In addition, through the research in this project will establish a systematic, complete theoretical system for the predictive variable structure filter, in order to provide a theoretical basis for its popularization and application in other fields.

英文关键词： Nonlinear predictive variable structure filter;Nonlinear state estimation;spacecraft state estimation