基于遗传算法的高速飞行器滑模控制律设计

以高超声速飞行器GHV(Generic Hypersonic Vehicle)的俯仰通道为控制对象,针对其6自由度非线性模型设计了滑模控制律.为了便于应用滑模控制理论,首先对该模型进行了输入输出反馈线性化,将原模型转换成为仿射型.设计好滑模控制律结构以后,基于遗传算法完成了滑模控制律参数设计.该过程利用了随机鲁棒思想,即在随机均匀分布的参数不确定性作用下,通过遗传算法优化滑模控制律参数,使得飞行控制系统失去稳定性和鲁棒性的概率达到最小.仿真表明,该方法可以同时满足飞行控制系统鲁棒性和参数优化过程收敛性的要求.     

A multi-strategy pigeon-inspired optimization approach to active disturbance rejection control parameters tuning for vertical take-off and landing fixed-wing UAV

In this paper, Active Disturbance Rejection Control(ADRC) is utilized in the pitch control of a vertical take-off and landing fixed-wing Unmanned Aerial Vehicle(UAV) to address the problem of height fluctuation during the transition from hover to level flight. Considering the difficulty of parameter tuning of ADRC as well as the requirement of accuracy and rapidity of the controller, a Multi-Strategy Pigeon-Inspired Optimization(MSPIO) algorithm is employed. Particle Swarm Optimization(PSO), Gen...     

航天器非平稳振动环境TVAR时频分析(英文)

Predicting the time-varying auto-spectral density of a spacecraft in high-altitude orbits requires an accurate model for the non-stationary random vibration signals with densely spaced modal frequency. The traditional time-varying algorithm limits prediction accuracy, thus affecting a number of operational decisions. To solve this problem, a time-varying auto regressive （TVAR） model based on the process neural network （PNN） and the empirical mode decomposition （EMD） is proposed. The time-varying system is tracked on-line by establishing a time-varying parameter model, and then the relevant parameter spectrum is obtained. Firstly, the EMD method is utilized to decompose the signal into several intrinsic mode functions （IMFs）. Then for each IMF, the PNN is established and the time-varying auto-spectral density is obtained. Finally, the time-frequency distribution of the signals can be reconstructed by linear superposition. The simulation and the analytical results from an example demonstrate that this approach possesses simplicity, effectiveness, and feasibility, as well as higher frequency resolution.     

Multi Objective Robust Active Vibration Control for Flexure Jointed Struts of Stewart Platforms via H∞ and μ Synthesis

Active vibration control is needed for future space telescopes, space laser communication and other precision sensitive payloads which require ultra-quiet environments. A Stewart platform based hybrid isolator with 6 hybrid struts is the effective system for active/passive vibration isolation over 5-250 Hz band. Using an identification transfer matrix of the Stewart platform, the coupling analysis of six channels is provided. A dynamics model is derived, and the rigid mode is removed to keep the signal of pointing control. Multi objective robust H∞ and μ synthesis strategies, based on singular values and structured singular values respectively, are presented, which simultaneously satisfy the low frequency pointing and high frequency disturbance rejection requirements and take account of the model uncertainty, parametric uncertainty and sensor noise. Then, by performing robust stability test, it is shown that the two controllers are robust to the uncertainties, the robust stability margin of H, controller is less than that of μ controller, but the order of μ controller is higher than that of H, controller, so the balanced controller reduction is provided. Additionally, the μ controller is compared with a PI controller. The time domain simulation of the μ controller indicates that the two robust control strategies are effective for keeping the pointing command and isolating the harmonic and stochastic disturbances.     

冲压发动机助推段压强振荡现象数值分析

为了揭示串连式冲压发动机飞行助推段进气道和补然室内压强振荡产生的机理,针对冲压发动机的助推段开展了进气道和补燃室内流动的大涡模拟,获得了进气道和补然室内压强振荡的频率和振幅,并和飞行实验数据进行了对比。结果表明,在助推段串连式冲压发动机进气道和补燃室内发生的压强振荡现象属于典型的整体模式不稳定现象;助推飞行马赫数、飞行高度的变化对整体模式不稳定现象压强振荡的频率和振幅影响不大。     

基于SSUKF的航天器自主导航算法

针对航天器自主导航系统对稳定性、精确性和实时性的要求,将超球面分布采 样点变换SSUT(Spherical Simplex Unscented Transformation)和Unscented卡尔曼滤波(UK F)相结合,研究了基于SSUT的UKF(SSUKF)导航滤波算法.由于SSUT减少了采样点个 数,在保证滤波精度和标准UKF相当的条件下减轻了计算负担.根据UKF和扩展卡尔曼滤波(E KF)计算过程相似的特点,设计了SSUKF和EKF相结合的混合卡尔曼滤波算法.算法通过能够 度量估计误差的模式切换函数,可以自适应地在SSUKF和EKF之间切换,避免了UKF计算效率低 以及EKF对滤波参数敏感、容易发散的缺点.数值仿真结果表明,混合卡尔曼滤波器提高了 计算效率,保证了估计精度,具有良好的鲁棒性,适合于航天器自主导航系统.      

月球重力转弯软着陆的模糊变结构控制

针对月球软着陆的最终段,提出了以重力转弯方式进行软着陆的模糊变结构制导律.首先设计了次优滑动面,然后引入模糊控制器,使滑动变量逐渐收敛到0,实现安全着陆.考虑了发动机推力偏差、着陆器初始质量估计偏差、月球引力加速度偏差、初始条件干扰、敏感器测量误差及姿态跟踪误差.并用Monte Carlo技术验证了所设计的模糊变结构制导律具有很强的鲁棒性,能够克服各种随机偏差及干扰的影响.因此,所设计的软着陆制导律是可行的,并且只须以斜向距离和斜向速度作为输入,工程实现简单.      

未来空天一体化力量的发展方向探讨

分析了空天一体化力量在未来战争中的重要作用,以及国外空天一体化力量的发展概况和发展趋势.在此基础上,重点探讨了我国空天一体化力量未来发展的五个主要方向.最后,针对世界空天一体化力量的发展趋势,结合我国具体国情给出了几点建议.     

基于漏斗试样的C250钢高温扭转低周疲劳行为

C250钢的扭转疲劳破坏是其主要失效形式之一。为了获得航空材料C250钢的扭转疲劳特性,并消除等直圆棒试样在扭转试验中产生的弊端,依据漏斗试样完成了C250钢在3种高温(150、200、350℃)环境下的扭转低周疲劳试验,获得了在扭转低周疲劳下的扭矩-名义扭转角曲线。基于试验结果,利用FAT方法分析得到了C250钢在3种高温环境下的材料循环本构关系,利用该循环本构关系对漏斗试样进行三维扭转有限元分析,获得漏斗根部剪切应力与扭矩之间的转换公式及漏斗根部剪切应变与名义扭转角之间的转换公式。基于以上试验与分析方法,得到了材料的剪切应变幅-倍循环次数曲线、剪切应力幅-循环分数曲线以及剪切应力-剪切应变的稳定滞回线,发现材料呈现出循环软化特性,并基于Manson-Coffin模型对材料寿命进行了分析。     

3-D有限元转子系统动力减缩的部件模态综合方法及应用

为了对3-D有限元转子模型进行动力学减缩,提出基于部件模态综合的旋转子结构方法.该方法利用实模态振型矩阵减缩子结构自由度,不同转速下的减缩陀螺矩阵由转速系数乘以单位转速的减缩陀螺矩阵得到.与复模态减缩相比,避免了重复求解变换矩阵的缺点,减缩精度优于基于Guyan减缩的旋转子结构法.利用该方法减缩了某航空发动机转子模型87%的自由度数.经比较,由Campbell图所得临界转速的最大误差为0.04%,稳态不平衡响应计算结果与原模型也几乎完全相同,使用的内存和计算时间均不到原模型的20%,验证结果证明该方法可行.