Singularity avoidance of control moment gyros by one-step ahead singularity index

A steering law of control moment gyros for spacecraft attitude control by using one-step ahead singularity index is addressed in this paper. In some recent studies, the null motion approaches or singularity robustness steering laws have been extensively investigated to avoid singular configurations for a control momentum gyro (CMG) cluster. As a novel approach different from them, the proposed approach is based on optimization technique by minimizing the one-step ahead singularity index. Modified approaches are also presented in this paper. The proposed one-step prediction method ultimately gives an optimized solution of gimbal rates with advanced ability to avoid a singularity. A singularity index for reliable computation of a gradient vector is also introduced. Finally, performance of the proposed algorithm is demonstrated by numerical simulations.     

一种连续式跨声速风洞总压控制方法设计

总压是连续式跨声速风洞关键流场参数，高总压控制精度能提高试验数据的准确性，加快调节速度对缩短马赫数极曲线时间具有重要意义。针对连续式跨声速风洞试验工况多、调节手段多等特点，对连续式跨声速风洞压力调节系统及多种流场调节手段下的压力耦合特性进行分析研究，建立了连续式跨声速风洞总压控制精度和调节阀特性的对应关系，并以此设计出不同工况的阀门组合控制策略，采用分段变参数加模糊PID控制算法实现总压的闭环控制。风洞试验结果表明:在保证每条马赫数极曲线时间的同时，总压控制精度达到0.1%，控制方法能够有效满足连续式跨声速风洞总压控制要求。     

Autonomous flight and navigation of VTOL UAVs: from autonomy demonstrations to out-of-sight flights

Future applications of UAV systems will depend on the aircraft autonomous behavior and decision capabilities. Search and Rescue is one complex possible mission and is here taken as a case study. The ReSSAC project is a multidisciplinary project at ONERA. Its main challenges are related to the architectures and algorithms for autonomous decision and information processing onboard UAVs that perform their mission in cooperation with operators. The feasibility demonstrations and results of the project are intended to be reused and extended in further studies, projects and collaborations. A first step of the project was to develop an autonomous control architecture for our two rotorcraft. In this paper, we present the current status and preliminary achievements of the ReSSAC project, especially some records of past experimental flights with our autonomous aircraft. We further discuss ongoing studies and research perspectives.     

Design and Application of Discrete Sliding Mode Control with RBF Network-based Switching Law

This article proposes a novel approach combining exponential-reaching-law-based equivalent control law with radial basis function (RBF) network-based switching law to strengthen the sliding mode control (SMC) tracking capacity for systems with uncertainties and disturbances. First, SMC discrete equivalent control law is designed on the basis of the nominal model of the system and the adaptive exponential reaching law, and subsequently, stability of the algorithm is analyzed. Second, RBF network is used to form the switching law in a direct and online manner with sliding-mode-related inputs and by approximating evaluation function; and the method to adjust its parameters is devised. Finally, comparable experiments are carried out to verify the application of the proposed approach to an inner-axis driven by a direct current (DC) torque motor through extra-low speed servo for a high precision flight simulator, and the axis works under deteriorating conditions such as periodically fluctuating torques of motor, nonlinear friction, and time-varying model parameters. The results show that the combined SMC can effectively improve the servo performance, for instance, to a stable 0.000 08 (°)/s speed response, the tracking error would be within 0.000 08° in 98% of operating times. Moreover, the hybrid nature of the approach imparts the RBF network the features of removing offline training and ease to set initial parameters.     

Optimization Based on Convergence Velocity and Reliability for Hydraulic Servo System

This article presents an optimal hybrid fuzzy proportion integral derivative (HFPID) controller based on combination of proportion integral derivative (PID) and fuzzy controllers, by which the parameters could be evaluated by global optimization either in convergence velocity or in convergence reliability. Focusing on the nonlinear factors of hydraulic servo system, this article takes advantage of PID and fuzzy logic controller integrated with scaling factors to acquire precise tracking performances. To further improve the performances, it provides new developed optimization with rapid convergence to attain reliable approach probability. Focusing on the performance indictors of evolutionary algorithm, this article presents a new technique to predict reliability of the optimization algorithm. Statistics authenticates the effectiveness and robustness of the optimization. Further, many simulation and experimental results indicate that the optimal HFPID could acquire perfect immunity against parametric uncertainties with external disturbance.     

Optimal heliostationary missions of high-performance sailcraft

The aim of this paper is to provide a comprehensive and systematic study of optimal trajectories by characterizing sailcraft heliostationary orbits through the statement of a minimum-time problem. An indirect method is applied to calculate the control laws that minimize the mission time. An important contribution is a comparison of realistic with simplified (ideal) sail force models and an attempt is made to describe these models through a unified, compact formulation. Two cases are considered, that is the final heliostationary distance is left free or it is constrained to assume a specified value. Also, the problem is solved for both circular and elliptical parking orbits.     

面向未知区域深度测量的序列图像稠密点特征生成算法

对未知着降区平坦度测量是无人机在复杂地形下安全着陆的关键问题。首先,根据小孔成像原理推导出基于单目序列图像的未知区域深度计算方程;其次,针对稀疏匹配存在深度信息重构误差大而稠密匹配在平滑区域误匹配率高的问题,提出一种基于Delaunay三角剖分的稠密点特征生成算法;然后,分别对序列图像中的2帧图像提取亚像素级Harris角点和尺度不变特征变换(SIFT)特征点,并分别进行特征点匹配;再以2种特征点间的欧氏距离作为约束条件将2种特征点进行融合,生成准稠密特征点;最后,将准稠密特征点进行Delaunay三角剖分,并根据每个剖分三角形上3个顶点像素偏差的方差值制定稠密特征点的生成策略,并结合所提出的深度计算方程计算整个未知区域各点的深度信息。通过Vega Prime(VP)搭建仿真演示验证系统,实验结果表明在机载相机距地面400m处计算高度分别为90m和55m的物体深度信息时,其深度测量相对误差不超过0.89%,具有较高的精度。     

考虑输入饱和与姿态角速度受限的航天器姿态抗退绕控制

 针对航天器姿态控制过程中同时存在输入饱和与姿态角速度受限的问题,提出了一种新型的姿态控制设计方法。该方法在保证系统渐近稳定的前提下,能够显式地给出输入力矩和姿态角速度的最大幅值,并通过引入一个时变锐度参数来增强系统对外部干扰的抑制能力;在此基础上,进一步考虑了由于四元数的冗余性所导致的退绕问题,设计了一组新的姿态偏差函数和偏差向量,使得控制器在满足上述约束的同时还具有抗退绕的优点。仿真结果表明,所提算法能够同时满足输入饱和与姿态角速度受限的约束,并且在较大外部干扰的情况下表现出了很强的鲁棒性,同时成功地规避了退绕现象。该算法为存在多重约束的航天器姿态控制问题提供了一个新的思路和解决方案,具有很好的实际应用价值。     

不同接触形式下轮盘叶片系统的振动响应分析

以某压气机盘片系统为研究对象,基于ANSYS软件,建立了接触模型、接触不分离模型和刚性连接模型3种榫连结构接触约束形式下的盘片有限元模型,分别对3种模型进行了固有特性的分析,对比了三者的共振频率和振型;在离心力和气流激振力作用下,对3种模型进行了振动响应分析,得到三者的位移响应和应力随转速的变化规律。研究结果表明:接触模型和接触不分离模型的固有特性一致性较好,而刚性连接模型和接触模型在高频段存在较大差异。同时,刚性连接模型和接触不分离模型能够极大地改善接触模型在低转速下的收敛性。     

Distributed state estimation for heterogeneous mobile sensor networks with stochastic observation loss

The problem of distributed fusion and random observation loss for mobile sensor networks is investigated herein. In view of the fact that the measured values, sampling frequency and noise of various sensors are different, the observation model of a heterogeneous network is constructed. A binary random variable is introduced to describe the drop of observation component and the topology switching problem caused by complete observation loss is also considered. A cubature information filtering algo...