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A new mobile robot control approach via fusion of control signals

机译:通过融合控制信号的新型移动机器人控制方法

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This paper proposes an alternative approach to address the problem of coordinating behaviors in mobile robot navigation: fusion of control signals. Such approach is based on a set of two decentralized information filters, which accomplish the data fusion involved. Besides these two fusion engines, control architectures designed according to this approach also embed a set of different controllers that generate reference signals for the robot linear and angular speeds. Such signals are delivered to the two decentralized information filters, which estimate suitable overall reference signals for the robot linear and angular speeds, respectively. Thus, the background for designing such control architectures is provided by the nonlinear systems theory, which makes this approach different from any other yet proposed. This background also allows checking control architectures designed according to the proposed approach for stability. Such analysis is carried out in the paper, and shows that the robot always reaches its final destination, in spite of either obstacles along its path or the environment layout. As an example, a control architecture is designed to guide a mobile robot in an experiment, whose results allows checking the good performance of the control architecture and validating the design approach proposed as well.
机译:本文提出了一种解决移动机器人导航中协调行为问题的替代方法:控制信号融合。这种方法基于一组两个分散的信息过滤器,可以完成涉及的数据融合。除了这两个融合引擎之外,根据此方法设计的控制体系结构还嵌入了一组不同的控制器,这些控制器为机器人的线性和角速度生成参考信号。这样的信号被传送到两个分散的信息滤波器,它们分别为机器人的线速度和角速度估计合适的整体参考信号。因此,非线性系统理论为设计此类控制体系结构提供了背景,这使得该方法与其他尚未提出的方法有所不同。该背景还允许检查根据所提出的方法设计的控制体系结构的稳定性。在本文中进行了这种分析,结果表明,尽管沿其路径或环境布局存在障碍,但机器人始终可以到达其最终目的地。例如,设计了一种控制体系结构来引导移动机器人进行实验,其结果可以检查控制体系结构的良好性能并验证所提出的设计方法。

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