高超声速飞行器全飞行包线统一建模与快速鲁棒自适应控制方法研究

项目名称： 高超声速飞行器全飞行包线统一建模与快速鲁棒自适应控制方法研究

项目编号： No.61304001

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 扈晓翔

作者单位： 中国人民解放军第二炮兵工程大学

项目金额： 26万元

中文摘要： 高超声速飞行器大包线飞行、恶劣的飞行环境以及飞行器本身的复杂动态特性等使得该类型飞行器全飞行包线下的动力学建模与控制器设计问题成为亟待解决的重大难题之一。本项目针对高超声速飞行器全飞行包线动力学统一建模和快速鲁棒自适应控制器设计问题展开研究，首先在建立各飞行段动力学模型的基础上，汇总所有变量，提出全飞行段适用的、形式一致的飞行器动力学模型的建立方法；分析飞行器未建模动态与干扰的来源，设计在线快速辨识算法；之后分析飞行器在不同飞行段的飞行任务、飞行环境与控制目标，得到不同飞行段对控制系统的性能需求；分析飞行器动力学模型相关变量自身的变化规律、变量之间的耦合关系以及各变量与不同性能指标之间的传递关系，提出兼顾多种性能指标、能够在线自适应调整的快速鲁棒自适应控制器设计方案；通过半实物仿真验证所建立全飞行段动力学模型和所提出控制方法的有效性。项目研究成果将为高超声速飞行器的发展提供理论支持。

中文关键词： 高超声速飞行器；统一建模；性能需求分析；快速辨识方法；快速鲁棒自适应控制器

英文摘要： Big flight envelope, bad flight conditions and complex dynamic characteristics, all of these make the integrated modeling and control design for airbreathing hypersonic vehicles (AHVs) became one of the most important technologies in the current and future development of aerospace fields. This project is focused on the integrated modeling and fast, robust adaptive control design for full-envelope flight of AHVs. Firstly, the AHVs' nonlinear dynamic models of different stages in the whole envelope are developed, and then the variables of those nonlinear dynamic models are analyzed. An integrated modeling method of AHVs, which can keep the form of all dynamic models in different stages the same, is proposed. Secondly, the origins of unmolded dynamics and the external disturbance are analyzed and a real-time online identification algorithm is presented. Thirdly, the requirements of the control performance in different stages are achieved by analyzing the fly missions, fly environment and the control objective in different stages. The variety law of the variables of the nonlinear dynamic models, the coupling between different variables and the relationship between variables and control performance are analyzed, and then a fast, robust adaptive control strategy, which can combine different control performance, adjust

英文关键词： Flexible Airbreathing Hypersonic Vehicles；Integrated Modeling；Performance Requirements Analysis；Fast Online Identification；Fast Robudt Adaptive Control