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Multi-robot based odor source declaration in 3D airflow fields

机译:3D气流领域中基于多机器人的气味源声明

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A multi-robot based mass flux divergence algorithm for odor source declaration in 3-dimensional flow fields is proposed. In this algorithm, four robots form a regular tetrahedron, computing the divergence value at tetrahedral center through gas concentration and fluid velocity sampled at the four vertices. Taylor-series expansion is given to calculate the mass flux divergence in the case of unknown gas concentration and fluid velocity distribution, which increases the application range of the proposed algorithm. The simulation results show that the algorithm could judge the odor source in 3-dimensional flow fields.
机译:提出了一种基于多机器人的质量通量发散算法,用于三维流场中臭味源的声明。在该算法中,四个机器人形成一个规则的四面体,通过在四个顶点处采样的气体浓度和流体速度来计算四面体中心的散度值。在未知气体浓度和流体速度分布的情况下,采用泰勒级数展开来计算质量通量散度,从而扩大了算法的适用范围。仿真结果表明,该算法可以判断三维流场中的臭味源。

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