基于滑模的多无人机系统协同编队控制

针对具有非完整约束的多无人机系统编队控制问题,提出了一种基于滑模的协同编队控制算法。控制目标是使多无人机系统能够收敛到期望编队,并且能够跟踪上期望的运动轨迹。在领导-跟随结构中,编队的期望运动轨迹由一个动态的虚拟领导者来表示,仅部分跟随者先验已知虚拟领导者信息,并且所有跟随者之间只能局部交互信息。首先,采用分布式状态观测器,使所有跟随者能够在有限时间内估计出虚拟领导者的状态。然后,利用该观测器的估计状态,提出了基于滑模的协同编队控制算法。最后,基于李雅普诺夫稳定性理论证明了多无人机系统的稳定性,并且通过5架无人机的仿真验证了所提算法的有效性。     

机动目标拦截末制导状态估计器的误差特性

 针对大机动目标拦截问题,分析了末制导阶段目标机动条件下状态估计器的误差特性。首先将目标机动输入未知时的状态估计器模型表示为一随机线性混合系统,当混合系统的模式跳变事件满足可观测性条件时,模式决策过程可等效为真实模式的延迟;随后推导了模式决策延迟条件下估计误差的动态方程与传递函数,并得到了一定误差要求下模式决策延迟的上界与目标机动模式逗留时间的下界;最后通过空空导弹拦截高速战机的典型实例验证了该理论分析的正确性。研究结果为设计此类线性混合系统估计器提供了理论依据。     

State estimate for stochastic systems with dual unknown interference inputs

Stochastic system state estimation subject to the unknown interference input widely exists in many fields, such as the control, communication, signal processing, and fault diagnosis. However, the research results are mostly limited to the stochastic system in which only the dynamic state model or the measurement model concerns the individual unknown interference input, and the state model and the measurement model are both with the same unknown interference input. State estimate of the stochastic systems where the state model and the measurement model contain dual Unknown Interference inputs (dual-UI) with different physical meanings and mathematical definitions is concerned here. Firstly, the decoupling condition with the Unknown Interference input in the State model (S-UI) is shown, which introduces the decoupled system with the adjacent Measurement concerned Unknown Interference inputs (M-UI) appearing in the state model and the measurement model. Then, through defining the Differential term of the adjacent M-UI (M-UID), the equivalent system with only M-UID in the state model is obtained. Finally, considering the design freedom of the equivalent system, the decoupling filter in the minimum mean square error sense and the adaptive minimum upper filter with different applicable conditions are represented to obtain the optimal and sub-optimal state estimate, respectively. Two simulation cases verify the effectiveness and superiority compared with the traditional methods.     

拟线性最优平滑滤波及其应用

在普通推广卡尔曼滤波（Ｅ．Ｋ．Ｆ．）的基础上，提出了一种更加适用于非线性状态方程和观测方程的改进的滤波算法－－拟线性最优平滑滤波（Ｑ．Ｌ．Ｏ．Ｓ．Ｆ．）算法，在求该滤波算法的状态转移矩阵时，加进了二阶导数项，同时线性化的标称值取为单步平滑值，降低了非线性对滤波的影响，提高了滤波精度。通过对某歼击机的仿真飞行试验数据及实测数据的处理，表明该算法比普通推广卡尔曼滤波具有更好的收敛性、精确性。     

带反馈分布式不同维传感器状态估计技术

论述了带反馈分布式信息融合系统中传感器观测维数不同时的状态估计方法。在多传感器系统中，目标的测量是在极坐标中获得，而数据处理通常是在直角坐标中完成。由于二维传感器不能获得观测目标的俯仰信息，其估计将会产生一定的动态误差。在分布式的信息融合系统中，各传感器需要将各自的局部估计送到融合中心进行统一处理。如果不适当地减小这种动态误差，必然将导致整个信息融合系统的估计精度下降。针对上述问题，文章讨论了如何利用系统反馈信息，减小二维传感器的局部估计误差，从而提高整个系统的估计精度。最后，给出了算法的仿真分析。仿真结果表明该方法能够有效地减小系统动态误差。     

一种利用辅助序列的PN序列捕捉系统

提出一种利用辅助序列进行PN序列捕捉的闭环系统,利用辅助序列估计本地PN序列与接收信号的相位差和方向,从而减小捕获时间。     

大气阻力摄动对卫星编队飞行队形的影响分析

为了分析大气阻力摄动对卫星编队队形的影响,利用相对轨道根数法推导了包含大气阻力摄动的卫星编队相对运动的状态转移方程。仿真结果表明当几何形状和质量不同的两颗卫星在低轨道做编队飞行时,大气阻力摄动对编队队形的影响很大而不能忽略;当主卫星的半长轴相等时,主卫星轨道的偏心率越大编队飞行受大气阻力摄动的影响也越大;大气阻力摄动主要影响编队飞行迹向相对距离。     

软件技术状态检查工具的研究

软件技术状态管理是保证软件技术状态的正确性、控制软件技术状态的不受控性、提高软件可靠性的有效技术保障 ,是软件质量管理的一个重要环节。本文简要介绍了该工具的开发背景、设计思想、功能、优点及应用前景     

Analytical solution methods for eigenbuckling of symmetric cross-ply composite laminates

Based on the first-order shear deformation theory, this paper explores the analytical methods for eigenbuckling of symmetric cross-ply rectangular composite laminates with a pair of parallel edges simply supported and the remaining two edges arbitrarily constrained. The main con-tribution of present paper lies in two aspects: one is to present a simple and effective analytical method, namely, the separation-of-variables method, which can generate the closed-form buckling solutions without any computational difficulty;the other is to incorporate the accurate computation method of exponential matrix into the state space technique to avoid the inevitable numerically ill-conditioned problems reported in several literatures. The results obtained via both analytical meth-ods are identical, and a good agreement with their counterparts in literature is observed. The separation-of-variables method can generate exact solutions within 1 s, which is impossible if the state space method is employed. Besides, the combination of the accurate computation method of exponential matrix and the state space method greatly improves the computational efficiency and gives correct results compared with the straightforward use of state space method.     

Application of novel force control strategies to enhance robotic abrasive belt grinding quality of aero-engine blades

Robotic belt grinding has emerged as a finishing process in recent years for machining components with high surface finish and flexibility.The surface machining consistency, however,is difficult to be guaranteed in such a process.To overcome this problem, a method of hybrid force-position control combined with PI/PD control is proposed to be applied in robotic abrasive belt grinding of complex geometries.Voltage signals are firstly obtained and transformed to force information with signal conditioning methods.Secondly, zero drift and gravity compensation algorithms are presented to calibrate the F/T transducer which is installed on the robot end-effector.Next, a force control strategy combining hybrid force-position control with PI/PD control is introduced to be employed in robotic abrasive belt grinding operations where the force control law is applied to the Z direction of the tool frame and the positon control law is used in the X direction of the tool frame.Then, the accuracy of the F/T transducer and the robotic force control system is analyzed to ensure the stability and reliability of force control in the robotic grinding process.Finally, two typical cases on robotic belt grinding of a test workpiece and an aero-engine blade are conducted to validate the practicality and effectiveness of the force control technology proposed.