Distributed event-triggered adaptive control for second-order nonlinear uncertain multi-agent systems

In this paper, the event-triggered consensus control problem for nonlinear uncertain multi-agent systems subject to unknown parameters and external disturbances is considered. The dynamics of subsystems are second-order with similar structures, and the nodes are connected by undirected graphs. The event-triggered mechanisms are not only utilized in the transmission of information from the controllers to the actuators, and from the sensors to the controllers within each agent, but also in the communication between agents. Based on the adaptive backstepping method, extra estimators are introduced to handle the unknown parameters, and the measurement errors that occur during the event-triggered communication are well handled by designing compensating terms for the control signals. The presented distributed event-triggered adaptive control laws can guarantee the boundness of the consensus tracking errors and the Zeno behavior is avoided. Meanwhile, the update frequency of the controllers and the load of communication burden are vastly reduced. The obtained control protocol is further applied to a multi-input multi-output second-order nonlinear multi-agent system, and the simulation results show the effectiveness and advantages of our proposed method.     

High-precision single-input control of relative motion in spacecraft formation

A Newton-type method is proposed to improve the accuracy of control for relative motion of two satellites in close formation. We assume that the deputy satellite is equipped with a passive attitude control system that provides one-axis stabilization, and one or two orbit control thrusters are installed along the stabilized axis. Previous studies show that it is possible to construct periodic relative trajectories both in case of passive magnetic and spin stabilization. However, the accuracy of the numerically obtained control is quite low due to modeling errors caused by linearization of the equations of relative motion. Therefore, a correction procedure is required to compensate for nonlinear effects. To this end we suggest a recently developed algorithm based on the Newton method for solving nonlinear systems with geometric constraints. Being implemented, this algorithm allows decreasing the modeling error by up to ten times. The previously found control and trajectory of the linearized system are used as initial approximations.     

基于GPU的高光谱遥感主成分分析并行优化

主成分分析（principal component analysis, PCA）是高光谱遥感图像特征提取的重要方法。为了在保证精度的同时,提高高光谱遥感PCA算法的计算效率,文章提出一种基于图形处理器（graphic processing unit,GPU）＋中央处理器（central processing unit,CPU）异构系统的PCA并行优化方法。该方法利用GPU的并行计算能力实现PCA中复杂的协方差矩阵计算与维数缩减过程,优化了像元去均值的计算流程;解决了GPU内核计算像元累加和非合并访问问题;利用共享内存机制,提高了访存效率。此外,该方法采用改进的Jacobi快速迭代法在CPU中进行特征分解,保证了算法的精度。实验结果表明,该方法在保证精度的同时能够有效提高计算效率,在Quadro600平台上的加速比达到141倍,满足了高光谱遥感图像实时应用的需求。     

Low-Cost Wireless Sensor Network Node Design for Multi-point Bolt Loosening Detection

Bolted connections are commonly used in aerospace structures.Once the bolts on the aircraft are damaged or loose,the consequence will be disastrous.Therefore,monitoring bolt loosening is especially required.However,periodic manual inspection costs much money and time.And it is very difficult to achieve multi-point monitoring for many bolted structures in an aircraft.Therefore,a low-cost,reliable detection method based on wireless sensor networks is presented.The reed switch is selected as a sensor for bolt loosening monitor.The chip PT2262 and PT2272are chosen as hardware codec chip for multi-point placement.A wireless transmitter and receiver circuit is designed on 315 MHz frequency.The codec chip and the wireless transmission are triggered by the reed switches.Bolt loosening is detected by the receiving terminal and indicated by light and sound alarms.The wireless transmitter and the receiver circuit are tested and the monitoring system is verified by experiments.The results show that bolt loosening can be effectively detected within 300 m.The developed sensor network is expected to solve multi-point bolt detection problems and provide a low-cost and reliable monitoring technology.     

某涡喷发动机燃油压力高频脉动现象的分析及解决

本文针对某涡喷发动机燃油压力高频脉动现象,建立了供油调节系统的动态非线性数学模型,并用全局分段线性化方法进行了稳定性分析,确认燃油压力高频脉动是由于系统不稳定造成的,并据此给出了解决措施。      

组合导航系统中一种基于特征值分解的自适应信息融合滤波算法

基于分散滤波理论的联合滤波算法,可以有效地降低组合导航系统的计算负担,并且增强系统的容错性能。给出了一种联合滤波算法中信息分配系数的自适应计算方法,能够使联合系统根据导航过程中各传感器的信息质量的变化合理地反馈全局信息。仿真结果表明,该算法可以有效地降低由于导航子系统降级带来的滤波误差。     

飞机结构耐久性设计与分析专家系统

 为适应现代飞机设计发展的需要,把现有飞机结构耐久性设计与分析的专家知识与经验组织起来,形成具有一定规模的知识库,在大量试验的基础上形成数据库,把原有的设计与分析计算方法形成具有一定功能的计算模块,用Visual C+ +语言开发出飞机结构耐久性设计与分析专家系统.该系统实现了耐久性分析与设计的标准化,且在某型号飞机耐久性评定中得到初步应用.本文阐述了它的组织结构、功能,并举例演示.     

模糊树模型对有限样本集的逼近

对含高度非线性的复杂系统的辨识与建模提出了一种二叉线性模糊树方法.证明了对n维空间中任一闭集上的有限样本集或连续函数,总存在模糊树模型以任一精度逼近之.仿真结果表明,与已有的其它方法比较,模糊树模型不仅具有计算量小,精度高,对于输入空间维数不敏感等优点,同时它的逼近误差是单调下降的.模糊树模型在一定程度上模拟了对复杂问题进行分层、分段简化决策的思维过程.仿真结果描述了这种方法的性能.     

飞机环控系统引气分系统动态特性试验研究

对飞机环控系统引气分系统的动态性能进行了试验研究.主要研究了在不同流量和温度值的引气量的冲击下系统的温度响应,以及引气流量突变时系统的温度响应和引气压力变化时系统的压力响应.试验结果表明:系统的压力响应时间在1s内,而系统的温度响应在10~30s之间.     

ATN中的数据压缩算法分析及进一步完善

针对航空电信网移动通信中的数据压缩问题,详细分析了无连接网络层协议(CLNP,Connectionless Network Layer Protocol)报头压缩过程和压缩性能,得出传输效率、报头压缩效率与报文长度的关系.在缺省域间路由方式下,结合ESIS(End System to Intermediate System )协议,提出了CLNP报头数据的压缩完善方案,并分析了算法的压缩性能、给出了压缩效率和数据包长的关系.仿真结果表明,该算法进一步提高了压缩效率,提高了无线信道传输效率.