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Decentralized, Cooperative Control of Multivehicle Systems: Design and Stability Analysis

机译:多车系统的分散协作控制:设计和稳定性分析

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摘要

This dissertation addresses the design and stability analysis of decentralized, cooperativecontrol laws for multivehicle systems. Advances in communication, navigation,and surveillance systems have enabled greater autonomy in multivehicle systems, andthere is a shift toward decentralized, cooperative systems for computational efficiencyand robustness. In a decentralized control scheme, control inputs are determinedonboard each vehicle; therefore, decentralized controllers are more efficient for largenumbers of vehicles, and the system is more robust to communication failures andreconfiguration.The design of decentralized, cooperative control laws is explored for a nonlinearvehicle model that can be represented in a double-integrator form. Cooperative controllersare functions of spacing errors with respect to other vehicles in the system,where the communication structure defines the information that is available to eachvehicle. Control inputs are selected to achieve internal stability, or zero steady-statespacing errors, between vehicles in the system.Closed-loop equations of motion for the cooperative system can be written in astructural form, where damping and stiffness matrices contain control gains acting onthe velocity and positions of the vehicles, respectively. The form of the stiffness matrixis determined by the communication structure, where different communication structures yield different control forms. Communication structures are compared usingtwo structural analysis tools: modal cost and frequency-response functions, whichevaluate the response of the multivehicle systems to disturbances. The frequency-responseinformation is shown to reveal the string stability of different cooperativecontrol forms.The effects of time delays in the feedback states of the cooperative control lawson system stability are also investigated. Closed-loop equations of motion are modeledas delay differential equations, and two stability notions are presented: delay-independentand delay-dependent stability.Lastly, two additional cooperative control forms are investigated. The first controlform spaces vehicles along an arbitrary path, where distances between vehiclesare constant for a given spacing parameter. This control form shows advantages overspacing vehicles using control laws designed in an inertial frame. The second controlform employs a time-based spacing scheme, which spaces vehicles at constant-timeintervals at a desired endpoint. The stability of these control forms is presented.
机译:本文针对多车辆系统的分散,协同控制律进行设计和稳定性分析。通信,导航和监视系统的进步使多车系统具有更大的自主权,并且为了实现计算效率和鲁棒性,人们正在向分散,协作的系统过渡。在分散控制方案中,控制输入在每辆车上确定;因此,分散式控制器对于大量车辆更有效,并且该系统对通信故障和重新配置更为鲁棒。针对非线性车辆模型,研究了分散式,协作控制律的设计,该模型可以以双积分器形式表示。协作控制器具有相对于系统中其他车辆的间距误差的功能,其中通信结构定义了每个车辆可用的信息。选择控制输入以实现系统中车辆之间的内部稳定性或零稳态误差。协作系统的闭环运动方程可以结构形式编写,其中阻尼和刚度矩阵包含作用于速度的控制增益和车辆的位置。刚度矩阵的形式由通信结构确定,其中不同的通信结构产生不同的控制形式。通信结构使用两种结构分析工具进行比较:模态成本和频率响应功能,用于评估多车系统对干扰的响应。频率响应信息显示了不同合作控制形式的弦稳定性。研究了时滞对合作控制法则系统稳定性反馈状态的影响。将运动的闭环方程建模为时滞微分方程,并提出了两种稳定性概念:时滞无关和时滞依赖性。最后,研究了另外两种协作控制形式。第一控制表格沿任意路径对车辆进行间隔,其中对于给定的间距参数,车辆之间的距离是恒定的。该控制形式显示了使用惯性框架中设计的控制定律来超越车辆的优势。第二个控制表单采用基于时间的间隔方案,该方案以恒定的时间间隔在所需的端点处间隔车辆。介绍了这些控制形式的稳定性。

著录项

  • 作者

    Weitz Lesley A.;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
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