Intelligent adaptive observer-based optimal control of overhead transmission line de-icing robot manipulator

In cold season, wet snow ice accretion on overhead transmission lines increases wind load effects which in turn increases line tension. This increased line tension causes undesirable effects in power systems. This paper discusses the design of an observer-based boundary sliding mode control (BSMC) for 3 DOF overhead transmission line de-icing robot manipulator (OTDIRM). A robust radial basis functional neural network (RBFNN) observer-based neural network (NN) controller is developed for the motion control of OTDIRM, which is a combination of BSMC, NN approximation and adaptation law. The RBFNN-based adaptive observer is designed to estimate the positions and velocities. The weights of both NN observer and NN approximator are tuned off-line using particle swarm optimization. Using Lyapunov analysis the closed loop tracking error was verified for a 3 DOF OTDIRM. Finally, the robustness of the proposed neural network-based adaptive observer boundary sliding mode control (NNAOBSMC) was verified against the input disturbances and uncertainties.     

ADRC Law of Spacecraft Rendezvous and Docking in Final Approach Phase

This article addresses the high-precision coordinated control problem of spacecraft autonomous rendezvous and docking, which couple the relative position and attitude in the final approach phase. The coupled dynamics equations of the tracking-target spacecrafts is derived by using dual quaternions. Then, a cascade Active Disturbance Rejection Controller is proposed, by which the extended state observer and nonlinear error feedback law is designed, the virtual value on which the actual control volume tracking is calculated to ensure the finite time convergence of the relative position and attitude tracking errors in spite of parametric uncertainties and external disturbances. Finally, numerical simulations are performed to demonstrate that the proposed approaches, which can avoid the coupling effect and restrain the interference, can track the target spacecraft in a relatively short period of time, and the control precision can satisfy the requirements of docking.     

基于傅里叶级数的小推力航天器快速轨迹设计

为了满足小推力航天器交会轨迹的快速性设计需求,基于形状逼近理论,设计了一种三维轨迹模型.将轨迹设计问题转换为求解傅里叶级数的系数问题,避免了轨迹运动方程非线性强、难以求解的难题,极大地提高了计算效率.考虑到推力加速度的限制,建立了加速度约束方程,并结合轨迹的运动方程,给出了傅里叶级数的求解过程.同时根据边界条件和最大推力加速度值,定性地分析了傅里叶系数的存在条件.仿真验证了该方法的正确性和可行性,并从计算效率上与高斯伪谱法进行了对比,结果表明本文的方法计算耗时仅为高斯伪谱法的0.67%.     

基于STM32控制的仓储搬运机器人

针对实际工业生产过程对自动化的需求,阐明了实现精确搬运的智能机器人的设计.该机器人运用灰度、颜色传感器完成循迹、颜色识别的导向识别功能;通过STM32产生PMW波形控制伺服电机的转动,精确搬运物料;模拟真实厂区环境,规划高容错率行进路线.实验表明,机器人设计简单,易于实现与批量生产,实用可靠,可在自动化领域广泛推广.     

一种自动跟踪的智慧物流信息处理系统的设计

为了实现对物流货品的跟踪溯源、车辆的实时监控和物流信息的采集处理,设计以ARM微控制器为硬件核心,通过RFID技术记录物资的包装、仓储、运输等全过程,结合GPRS网络将采集到的物资信息传送至监控平台实现远程监控,用户可以登陆平台实时获取物流车辆的运输情况、地理位置、物资信息。测试结果表明,系统稳定可靠,能够实现物流的全程跟踪、实时监控、信息传送等功能。     

Distributed consensus and tracking control of second‐order time‐varying nonlinear multi‐agent systems

In this paper, the distributed consensus and tracking protocols are developed for the second‐order time‐varying nonlinear multi‐agent systems under general directed graph. Firstly, the consensus and tracking problems can be converted into a conventional stabilization control problem. Then a state transformation is employed to deal with the time‐varying nonlinearities. By choosing an appropriate time‐varying parameter and coupling strengths, exponential consensus and tracking of second‐order nonlinear multi‐agent systems can be achieved. Finally, a simulation is given to illustrate the effectiveness of the proposed consensus and tracking protocols. Copyright © 2017 John Wiley & Sons, Ltd.     

基于GM(1,1)预测算法的民航飞机实时轨迹可视算法

针对民航飞机动态飞行可视化中滞后和跳跃问题,研究并提出了一种基于预测的民航飞机实时轨迹可视化算法.算法包括轨迹点预测,目标点行进和误差修正三部分.轨迹点预测基于GM （1,1）算法进行改进,在每次迭代时依据所有先验点和搜索方向动态调整发展系数.目标点行进基于预测坐标点提出TSUS （Time Slice Uniform Speed）算法,TSUS算法保证了在既定时间内目标确实移动到目的地,且能够根据初始速度方向调整轨迹弧度.误差修正采用分段式误差修正策略,以平衡不同情况下精确性和实用性.实验表明,提出的算法模型可用于民航飞机可视轨迹渲染中,且能获得良好的效果,提高系统的可用性和用户体验.     

基于Kinect的机械臂增强现实示教研究

机械臂广泛地应用在工业自动化生产以及人们日常生活中,机械臂而示教学习作为一种重要的运动规划方式,是机械臂研究领域的一项重要研究内容。鉴于此,设计了一种基于Kinect的虚拟机械臂增强现实示教系统,通过Kinect传感器采集人手位置数据,利用机械臂逆运动学模型驱动虚拟机械臂跟踪人手运动,实现对机械臂的虚拟示教;利用增强现实技术,将虚拟机械臂叠加到真实环境中,实现对机械臂的增强现实示教。实验结果表明该系统能够将虚拟机械臂准确地叠加到真实环境中,并实时跟踪人手运动,系统具有良好的交互性。     

A new generator of causal ideal internal dynamics for a class of unstable linear differential equations

The generator design for causal ideal internal dynamics (IID), namely, solving IID, is a fundamental problem in a nonminimum‐phase output tracking process. In this paper, for a class of unstable matrix differential equations, a new causal IID generator is proposed, whose parameters are partly chosen via optimization. Compared with existing similar design schemes, it is applicable to matrix differential equations with singular system matrices. Also, it requires less computation, avoids taking higher order derivatives, and can be easily extended to treat slowly time‐varying matrix differential equations without the need for extra computation. Copyright © 2016 John Wiley & Sons, Ltd.     

基于DSP的自旋弹姿态存储测试方法

本文针对姿态信息测试仪的低精度、体积大、抗过载能力差等问题,提出了一种基于DSP的姿态存储测试方法,选用陀螺和地磁传感器组合测试,用DSP来控制,并在DSP内部设计卡尔曼滤波器解算姿态信息并存储。通过仿真和转台实验得出数据分析,验证了此方法的可靠性和可行性,达到了高测试精度的要求,同时还对所设计的记录仪进行了抗过载实验,结果表明完全可以用于高过载下的姿态测试试验,为以后的弹载姿态信息测试提供了新的方法。