径向变体飞艇总体参数估算方法

为突破临近空间可操纵浮空器的关键技术难点,使可操纵浮空器往返地面至临近空间成为可能,提出了一种径向变体飞艇的总体参数估算方法,该方法基于阿基米德浮力定律和李式变体飞艇原理(Li-Style Transformable Airship Theory),通过艇体结构的径向变形来实现艇体截面积的自适与可控变化,控制飞艇容积变化以改变净升力大小,并使飞艇在容积变化中始终保持可操纵的气动外形,从而实现飞艇的升、降与驻空和飞行等控制.通过设计变形方案估算内气囊与外气囊尺寸,分析力学平衡与能源平衡估算飞艇长度.在拟定设计参数的基础上,给出了一种太阳能径向变体飞艇的总体设计方案,并通过设计实例验证了此方法的可行性与实用性.     

临近空间伞张式飞艇气囊结构原理性研究

针对常规布局临近空间飞艇存在的超压控制系统重量大、能耗高等问题,通过借鉴南瓜型高空长航时气球的工作原理,提出了一种新型的省却了副气囊和超压控制系统的临近空间伞张式飞艇概念,该飞艇主要由一种能随气囊内外压差变化实现自主变形的伞张式气囊组成。针对伞张式气囊,通过开展气囊结构概念设计、气囊原理样件研制和地面原理试验研究,验证了伞张式飞艇气囊结构原理的可行性。研究结果表明,临近空间伞张式飞艇气囊结构原理上基本可行。     

空天体系对抗下未来战斗机发展的一些思考

本文从在未来作战体系中对传统意义上的战斗机有无存在的必要性,未来战斗机的主要作战使命,发展思路,主要特征,使用方式等方面对未来战斗机的特征进行了一些概念性研究和描述。在此基础上,对未来变体战斗机、无人战斗机(UCAV)、未来变体UCAV的关键技术等进行了初步的分析。     

Adaptive path planning for unmanned aerial vehicles based on bi-level programming and variable planning time interval

This paper presents an adaptive path planner for unmanned aerial vehicles (UAVs) to adapt a real-time path search procedure to variations and fluctuations of UAVs’ relevant performances, with respect to sensory capability, maneuverability, and flight velocity limit. On the basis of a novel adaptability-involved problem statement, bi-level programming (BLP) and variable planning step techniques are introduced to model the necessary path planning components and then an adaptive path planner is developed for the purpose of adaptation and optimization. Additionally, both probabilistic-risk-based obstacle avoidance and performance limits are described as path search constraints to guarantee path safety and navigability. A discrete-search-based path planning solution, embedded with four optimization strategies, is especially designed for the planner to efficiently generate optimal flight paths in complex operational spaces, within which different surface-to-air missiles (SAMs) are deployed. Simulation results in challenging and stochastic scenarios firstly demonstrate the effectiveness and efficiency of the proposed planner, and then verify its great adaptability and relative stability when planning optimal paths for a UAV with changing or fluctuating performances.     

Drag Reduction for an Airship with Proper Arrangement of Propellers

In this article, the flow field around an airship with propellers blowing is calculated on the basis of the Reynolds-averaged Navier-Stokes equations with SST turbulent models. Modeled each as an actuator disk, the propellers are arranged at different positions around the body of airship in the flow direction. The numerical results show that the blowing propellers produce open outer flows. They drive the separated vortexes off the body thus reducing the drag coefficients. The results also show that the position after leading sucking peak is the best place for a propeller to blow. When the propellers are positioned after sucking peak, the longer the area which the propellers work on, the more the profile drag coefficients can be reduced. If the working position of propeller moves from the sucking peak forward to the leading edge, the friction drag coefficient will increase. The bigger the diameter of the propellers and the stronger the pressure jump, the more the drag coefficient will be reduced. The results also reveal that for the design of circularly-positioned propellers with space intervals, the more drag coefficient reduction results, the smaller the space interval is specified.     

平流层飞艇巡航姿态自适应神经网络补偿控制

 研究了一种基于自适应神经网络补偿的平流层飞艇前向速度与姿态控制系统设计方法。针对近似模型进行常规线性动态补偿器设计,并引入自适应径向基函数(Radial Basis Function, RBF)神经网络对模型误差进行补偿。根据Lyapunov方法得到神经网络权值自适应律,保证了闭环系统误差信号一致最终有界。该控制器设计对模型参数信息仅有较少的要求。仿真结果表明对于两类不同的飞艇模型,所设计的控制器在响应性及对未知环境风速作用的鲁棒性方面均具有良好的效果。     

低空无人飞艇压力控制系统的设计与实现

介绍了一种以C8051F120单片机为核心设计的低空无人飞艇压力控制系统,详细给出了系统的总体架构;着重说明了主要功能模块的电路设计和固件的程序设计.地面测试和飞行试验表明该压力控制系统性能稳定,能满足低空飞艇飞行中压力控制的要求.     

有控飞行力学在无人飞行器研制和使用中的作用

本文从工程实践观点出发，结合无人飞行器，特别是战术导弹和制导兵器的特点，扼要讨论了与此密切相关的有控习行力学研究工作的某些进展情况，文中将有控习行力学问题分为两大类，即典型的飞行力学问题和相关的飞行力学问题，强调了多学科交 对飞行力学研究的重要意义；同时，还指出了有控飞行力学在未来軎与研制和使用中的作用。     

Cascade-type guidance law design for multiple-UAV formation keeping

A procedure to compute guidance commands for controlling the relative geometry of multiple unmanned aerial vehicles (UAVs) in formation flight is proposed. The concepts of branch, global leader, and local leader/follower are used to represent the whole formation geometry. A positive-definite function defined in terms of the formation error is then introduced and the Lyapunov stability theorem is used to obtain the cascade type guidance law. This scheme leads to the synchronized flight of all UAVs while maintaining formation geometry. The results of a high fidelity nonlinear simulation of a reconnaissance and surveillance mission example are presented to show the effectiveness of the proposed guidance law.     

Aircraft robust multidisciplinary design optimization methodology based on fuzzy preference function

This paper presents a Fuzzy Preference Function-based Robust Multidisciplinary Design Optimization (FPF-RMDO) methodology. This method is an effective approach to multidisciplinary systems, which can be used to designer experiences during the design optimization process by fuzzy preference functions. In this study, two optimizations are done for Predator MQ-1 Unmanned Aerial Vehicle (UAV): (A) deterministic optimization and (B) robust optimization. In both problems, minimization of takeoff weight and drag is considered as objective functions, which have been optimized using Non-dominated Sorting Genetic Algorithm (NSGA). In the robust design optimization, cruise altitude and velocity are considered as uncertainties that are modeled by the Monte Carlo Simulation (MCS) method. Aerodynamics, stability and control, mass properties, performance, and center of gravity are used for multidisciplinary analysis. Robust design optimization results show 46% and 42% robustness improvement for takeoff weight and cruise drag relative to optimal design respectively.