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高超声速飞行器自适应控制技术现状及发展

Research Status and Development of Adaptive Control Technology for Hypersonic Aircraft
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摘要 未来战争呈现“智能化、多维化”的发展态势,常规控制技术难以适应宽速域飞行工况,为提升高超声速飞行器在不同工况下的飞行性能,自适应控制技术已成为各国重点研究方向之一。本文分析了高超声速飞行器及其自适应控制技术的研究现状,概述了模型参考法、滑模控制法、基于神经网络的自适应控制法等基本方法及其研究进展,对自适应控制方法在容错、变体、轨迹规划等方面的应用进行研究与归纳,同时阐述了国外高超声速飞行器的发展计划。自适应控制技术较好地解决了控制的迟滞问题,为容错控制、变体控制、轨迹优化等领域的相关设计提供了参考,对于提高高超声速飞行器的飞行性能和安全性具有重要意义,未来研究将注重智能化和多系统一体化的发展。 The future war presents a development trend of“intelligence and multidimensionality”,and conventional control technology is difficult to adapt to wide speed range flight conditions.In order to improve the flight performance of hypersonic aircraft under different conditions,the adaptive control technology has become one of the key research directions in various countries.This paper analyzes the research status of hypersonic aircraft and their adaptive control technologies,summarizes the basic methods and research progress of model reference method,sliding mode control method,neural network-based adaptive control method,etc.,and studies and summarizes the application of adaptive control methods in fault-tolerance,variants,trajectory planning,etc.Also,it elaborates on the development plans of hypersonic aircraft abroad.Adaptive control technology has effectively solved the problem of control delay,providing reference for related designs in fault-tolerant control,variant control,trajectory optimization,and other fields.This study is of great significance for improving the flight performance and safety of hypersonic aircraft,and the development of intelligence and multi system integration will take more attention in the future researches.
作者 陶奕轩 李子豪 黄伟 Tao Yixuan;Li Zihao;Huang Wei(College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410000,China)
出处 《航空兵器》 北大核心 2025年第4期29-43,共15页 Aero Weaponry
基金 航空科学基金项目(20220014079001)。
关键词 高超声速飞行器 自适应控制 智能控制 容错控制 变体控制 轨迹优化 飞行性能 hypersonic aircraft adaptive control intelligent control fault-tolerant control variant control tra-jectory optimization flight performance
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