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Neighboring optimal control for mobile robot trajectory tracking with range-limited sensors

机译:带范围限制传感器的移动机器人轨迹跟踪的邻域最优控制

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Among the major challenges in tracking a predefined trajectory of a nonholonomic mobile robot operating in indoor environments is to determine an appropriate feedback control. In the technical literature, numerous controllers have been proposed to date for solving trajectory tracking and/or regulation problems of mobile robots. Most of them are quite promising to implement and mobile robots can operate in quite complex environments with these controllers. Nevertheless, one of the shortcomings of most of the existing controllers is the requirement of sophisticated hardwares, which, in some cases, more costly than the mobile robot itself. In addition, the analytical expression for most of the controllers is quite complex even for a simple nonholonomic system, an unicycle, for example. In this paper, we propose a neghboring optimal controller coupled with the state estimation for a differential drive mobile robot to track a pre-defined trajectory using signal strength measurements from RF (radio frequency) sensors placed in its operating environment. We emphasize that the RF sensors have limited communication range with the robot. The proposed controller is easy to implement, does not require sophisticated hardware for processing, and has relatively easier expression for the feedback controller. A numerical example is provided to validate the theoretical results. Computer simulations will be backed by experimental results for future investigations.
机译:跟踪在室内环境中运行的非完整移动机器人的预定轨迹的主要挑战之一是确定适当的反馈控制。在技​​术文献中,迄今为止已经提出了许多控制器来解决移动机器人的轨迹跟踪和/或调节问题。它们中的大多数有望实现,并且移动机器人可以使用这些控制器在非常复杂的环境中运行。然而,大多数现有控制器的缺点之一是需要复杂的硬件,在某些情况下,这些硬件比移动机器人本身的成本更高。另外,即使对于简单的非完整系统,例如单轮脚踏车,大多数控制器的解析表达式也相当复杂。在本文中,我们提出了一种结合状态估计的紧缩的最优控制器,用于差分驱动移动机器人使用放置在其工作环境中的RF(射频)传感器的信号强度测量值来跟踪预定轨迹。我们强调射频传感器与机器人的通信范围有限。所提出的控制器易于实现,不需要复杂的硬件进行处理,并且对于反馈控制器而言具有相对容易的表达方式。数值例子验证了理论结果。计算机仿真将以实验结果为后盾,以备将来研究之用。

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