直升机桨距调节助力器电液加载系统的H∞控制

基于对某直升机桨距调节液压助力器地面试验用电液负载模拟器的原理分析,建立了电液加载系统的动态模型．由于电液加载系统中存在着结构参数难以精确获取和伺服阀负载流量非线性等不确定性因素,采用传统的经典控制理论设计出的控制器难以奏效,为此研究了基于H_∞理论的电液加载系统的鲁棒控制策略．选择适当的权函数,利用混合灵敏度的方法设计并且采用基于线性矩阵不等式的算法求解出鲁棒控制器．给出了使用鲁棒力控制器的试验结果,结果证明所设计鲁棒力控制器的有效性和优越性．     

多控制面飞行器结构与配平鲁棒气动弹性优化方法

基于遗传算法,提出了一种考虑多控制面飞行器结构参数和配平关系中的不确定性的鲁棒气动弹性优化方法,并在一个带有主动气动弹性机翼(AAW)的复杂小展弦比飞机的结构和控制面传动比的鲁棒设计中得到了应用.以非概率形式来衡量设计变量的不确定性变化,采用单目标函数形式,并引入一个反映目标函数相对变化的额外约束来描述鲁棒优化问题.在...     

基于变结构鲁棒控制的导弹再入解耦控制

根据时标分离的原则,分成快慢两个回路采用动态逆对导弹大迎角再入系统进行了设计。针对快回路受到的参数不确定性和外来干扰引起的不确定性的影响,提出了采用变结构控制和鲁棒控制的方法,使系统受到的不确定影响衰减到一个给定的水平,并获得一个H∞跟踪性能指标。理论分析和仿真结果表明,采用这种方法系统具有良好的鲁棒性和跟踪特性。     

直升机液弹阻尼器填充材料粘性特性分析

液弹阻尼器是现代直升机旋翼系统的关键部件,由于其突出的性能优势代表了阻尼器的发展方向。本文基于液弹阻尼器的工作原理,通过液弹阻尼器填充液的分析选择,进行液弹阻尼器填充材料特性研究。建立正确分析液弹阻尼器设计分析模型,充分考虑粘温性能、粘压性能的综合影响,揭示影响液弹阻尼器力学性能的参数敏感性,为新型液弹阻尼器的结构设计与计算综合分析提供支持。     

非线性不确定系统的鲁棒H∞控制

考虑一类带有界结构不确定因素的非线性不确定系统的鲁棒Ｈ∞控制问题。给出了实际鲁棒Ｈ∞控制的定义以及系统实际鲁棒Ｈ∞控制可解的充分必要条件。结果表明实际鲁棒Ｈ∞控制问题的可解性与一个Ｈａｍｉｌｔｏｎ－Ｊａｃｏｂｉ－Ｉｓａａｃｓ微分不等式的正解存在性是等价的。     

基于鲁棒扩展卡尔曼滤波的双目视觉测量相对导航技术研究

针对非合作目标相对导航问题,为提高相对导航的精度和可靠性,采用双目视觉测量方法实现追踪器与目标器之间相对状态的测量,并基于鲁棒扩展卡尔曼滤波方法,提出了一种鲁棒相对导航滤波方法。仿真结果表明,该方法对相对导航系统模型中的不确定性具有良好的鲁棒性,且滤波精度较高。     

基于GB/T 24734的三维自动标注

结合制造企业对三维CAD零件尺寸自动标注的需求,探讨了以国标GB/T 24734为依据的在CAD系统中实现三维尺寸自动标注的技术.设计并实现了三维自动标注的算法,详细阐述了其相关的技术.该算法涉及零件基准识别、特征简化、表面分组、垂向投影标注以及零件特征还原等一系列技术.其中,特征简化和还原主要涉及特征和草图级别的倒角、圆角及阵列操作.为了便于尺寸的布局和识别,采用了表面分组和垂向投影标注的方法来对零件进行分解.以CAXA实体设计软件为平台,实现了上述算法,开发了自动标注模块,并验证了算法的可行性.     

Tube-based robust output feedback model predictive control for autonomous rendezvous and docking with a tumbling target

In this paper, a tube-based robust output feedback model predictive control method (TRMPC) is proposed for controlling chaser spacecraft docking with a tumbling target in near-circular orbit. The controller contains a simple, stable, Luenberger state estimator and a tube-based robust model predictive controller. Several practical challenges are also considered under dock-enabling conditions, such as the control saturation, velocity constraint, approach corridor constraint, and collision avoidance constraint. Meanwhile, uncertainties are carefully analyzed when designing the controller, including dynamics uncertainty, measurement error, and control deviation. The TRMPC ensures that all possible state trajectories with uncertainties lie in the minimum robust positively invariant set (mRPI, i.e., the so-called tube in this paper). The tube center is the solution of a nominal (without uncertainties) system. Another important contribution of this paper is to propose a technique where it is unnecessary to calculate the mRPI explicitly. Thereby, the ‘curse of dimensionality’ can be avoided for a six-dimensional system. To verify the feasibility of the proposed TRMPC strategy in the presence of uncertainties, two scenarios of autonomous rendezvous and docking (AR&D) are simulated. The simulation results show that the TRMPC method is more efficient in minimizing the uncertainties, fuel consumption, and computational cost, compared to the classic model predictive control (MPC) method.     

Development and testing of a statistical texture model for land cover classification of the Black Sea region with MODIS imagery

A statistical model is proposed for analysis of the texture of land cover types for global and regional land cover classification by using texture features extracted by multiresolution image analysis techniques. It consists of four novel indices representing second-order texture, which are calculated after wavelet decomposition of an image and after texture extraction by a new approach that makes use of a four-pixel texture unit. The model was applied to four satellite images of the Black Sea region, obtained by Terra/MODIS and Aqua/MODIS at different spatial resolution. In single texture classification experiments, we used 15 subimages (50 × 50 pixels) of the selected classes of land covers that are present in the satellite images studied. These subimages were subjected to one-level and two-level decompositions by using orthonormal spline and Gabor-like spline wavelets. The texture indices were calculated and used as feature vectors in the supervised classification system with neural networks. The testing of the model was based on the use of two kinds of widely accepted statistical texture quantities: five texture features determined by the co-occurrence matrix (angular second moment, contrast, correlation, inverse difference moment, entropy), and four statistical texture features determined after the wavelet transformation (mean, standard deviation, energy, entropy). The supervised neural network classification was performed and the discrimination ability of the proposed texture indices was found comparable with that for the sets of five GLCM texture features and four wavelet-based texture features. The results obtained from the neural network classifier showed that the proposed texture model yielded an accuracy of 92.86% on average after orthonormal wavelet decomposition and 100% after Gabor-like wavelet decomposition for texture classification of the examined land cover types on satellite images.     

SRAD-QFT鲁棒优化设计新方法

针对使用定量反馈理论进行控制系统设计时存在的鲁棒性度量等问题,结合随机鲁棒分析与设计原理,提出一种鲁棒优化设计新方法.该方法使用被控对象参数的统计信息对参数不确定性进行描述,基于闭环控制系统的蒙特卡罗仿真,将获得的闭环控制系统不稳定概率及各项性能指标的不满足概率作为闭环控制系统稳定鲁棒性和性能鲁棒性的度量,并在此基础上实现闭环控制系统的鲁棒优化设计.由某型超声速反舰导弹纵向运动控制系统的设计过程表明:该方法能够准确地描述被控对象的参数不确定性,有效解决控制系统的鲁棒性度量问题,适用于复杂控制系统的设计.