航电系统集成验证环境中的试验总控系统建设

针对国内军用航空修理行业系统级综合试验现状,根据航电集成验证环境中总控系统的特点和应具有的基本功能,结合视情维修需求及现代软硬件技术状态和成熟试验验证的手段,介绍了航电系统集成验证环境中总控系统的建设思路,给出了总控系统硬件及上位机测试软件的实现方案。该总控系统的应用将提升航电系统的修理验证能力。     

基于成本控制的机队优化配置方法

为了控制航空公司运营成本,实现燃油成本和机组时间成本最小,建立多目标整数规划模型,分析各成本因素所占比例,考虑旅客市场需求、航线频率限制、机队飞机寿命限制及飞机适航限制等因素,并采用层次分析法对模型进行求解。通过算例分析和评价,实现航线资源与机队的最优配置,为航空公司降低可变成本提供理论依据。     

某发动机燃油调节器高空供油特性调整研究

某型教练机装用的涡扇发动机在外场使用时出现了高空转速低于规定值的问题,根据发动机工作原理可知,该问题是燃油调节器供油量与发动机需油量不匹配所造成的。本文从燃油调节器工作原理出发,通过理论计算、仿真分析及试验验证的方法,研究燃油调节器的流量调整钉对高空燃油特性的影响。     

高超声速飞行器自适应神经网络容错控制

针对高超声速飞行器巡航段执行器控制效益损失故障和卡死故障问题,基于高超声速飞行器纵向运动模型,将自适应算法与改进的径向基函数神经网络(RBFNN)方法相结合,设计了一种自适应神经网络容错控制器。所提出的容错控制方法具有无需估计执行器故障值的优点,且设计的控制算法结构简单,无需大量实时计算,可以快速处理故障的发生,确保系统在参数不确定、恒定或时变执行器故障与卡死故障情况下仍具有稳定跟踪能力。最后,仿真验证了该方法的有效性。     

大型飞机迎角保护控制律设计及试飞技术研究

针对大型飞机迎角保护控制律设计及试飞问题,通过杆位移-过载梯度的实时精确调整及取大值逻辑指令切换,设计了迎角保护控制律,实现拉杆到底飞机迎角达到且不超过限制迎角的目的。根据迎角保护控制律的功能及试飞目的,将整个试飞过程分为三个阶段,研究了各个阶段的试飞技术。仿真结果表明,所设计的控制律能够实现迎角保护功能,具有良好的控制效果。     

基于离散误差扩张系统的舰载机着舰最优控制

舰载机着舰对控制系统的响应能力、鲁棒性能等要求很高。已有文献未考虑着舰控制的离散采样等问题,而实际上离散采样对系统的控制性能影响较大。本文对离散线性系统进行了误差状态量的扩张,建立误差系统,并用于离散采样下的着舰最优控制器设计。仿真结果显示,系统在初始高度偏差纠正、舰尾流抑制、抗模型摄动等方面的控制效果很好,并且其稳态精度、动态特性和鲁棒性能都远强于PID控制。着舰反区效应和升降舵直接力效应,会各自让舰载机动力学有2个非最小相位零点,最优控制方法能消除这2个零点,而PID控制只能消除前一个零点。     

Solar sails for perturbation relief: Application to asteroids

A major cause of spacecraft orbital variation comes from natural perturbations, which, in close proximity of a body, are dominated by its non-spherical nature. For small bodies, such as asteroids, these effects can be considerable, given their uneven (and uncertain) mass distribution. Solar sail technology is proposed to reduce or eliminate the net secular effects of the irregular gravity field on the orbit. Initially, a sensitivity analysis will be carried out on the system which will show high sensitivity to changes in initial conditions. This presents a challenge for optimisation methods which require an initial guess of the solution. As such, the Genetic Algorithm (GA) is proposed as the preferred optimisation method as this requires no initial guess from the user. A multi-objective optimisation is performed which aims to achieve a periodic orbit whilst also minimising the effort required by the sail to do so. Given the system sensitivity, the control law for one orbit is not necessarily applicable for any subsequent orbit. Therefore, a new method of updating the control law for subsequent orbits is presented, based on linearisation and use of a Control Transition Matrix (CTM). The techniques will later find application in a multiple asteroid rendezvous mission with a solar sail as the primary propulsion system.     

Propulsionless planar phasing of multiple satellites using deep reinforcement learning

This work creates a framework for solving highly non-linear satellite formation control problems by using model-free policy optimisation deep reinforcement learning (DRL) methods. This work considers, believed to be for the first time, DRL methods, such as advantage actor-critic method (A2C) and proximal policy optimisation (PPO), to solve the example satellite formation problem of propellantless planar phasing of multiple satellites. Three degree-of-freedom simulations, including a novel surrogate propagation model, are used to train the deep reinforcement learning agents. During training, the agents actuated their motion through cross-sectional area changes which altered the environmental accelerations acting on them. The DRL framework designed in this work successfully coordinated three spacecraft to achieve a propellantless planar phasing manoeuvre. This work has created a DRL framework that can be used to solve complex satellite formation flying problems, such as planar phasing of multiple satellites and in doing so provides key insights into achieving optimal and robust formation control using reinforcement learning.     

Backstepping sliding-mode control of stratospheric airships using disturbance-observer

In the presence of unknown disturbances and model parameter uncertainties, this paper develop a nonlinear backstepping sliding-mode controller (BSMC) for trajectory tracking control of a stratospheric airship using a disturbance-observer (DO). Compared with the conventional sliding mode surface (SMS) constructed by a linear combination of the errors, the new SMS manifold is selected as the last back-step error to improve independence of the adjustment of the controller gains. Furthermore, a nonlinear disturbance-observer is designed to process unknown disturbance inputs and improve the BSMC performances. The closed-loop system of trajectory tracking control plant is proved to be globally asymptotically stable by using Lyapunov theory. By comparing with traditional backstepping control and SMC design, the results obtained demonstrate the capacity of the airship to execute a realistic trajectory tracking mission, even in the presence of unknown disturbances, and aerodynamic coefficient uncertainties.     

用特征根构造变系数线性最佳控制

本文研究单输入n阶常系数线性系统满足二次型指标(积分区间有限,终点给定为(o,…o)) 的最佳控制。所得结果使用户无需解Riccati方程,也不要用数值法解出两点边值问题,仅由这个两点边值问题的特征根即可构造变系数线性最佳控制。这个结果既适于低价(n=1,2,3)时用来写出变系数线性最佳控制的一般表达式(17)—(19),也适于高阶时用计算机计算,其程序已用FORTRAN-Ⅳ在AD三TAMAX-186机上实现。