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Mobile Robot Odor Source Localization Based on Modified FWA

机译:基于修改的FWA的移动机器人气味源定位

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摘要

Odor source detection of hazardous chemical leakage is significant for safety in production and life. On account of its risk and specificity, robot odor source localization has been a consistent research for scholars in recent years. As the plume that was formed in the diffusion of the odor source has the characteristics of randomness and intermittency, the robot was easy to be trapped into local optimum in the search process with low search efficiency. The existing Fireworks Algorithm (FWA) is improved by modifying the explosion amplitude to some extent and the mobile robot odor source localization based on the improved FWA (OSL-FWA) is put forward in this paper. Without referring to the wind direction information, the robot could find the plume, track it rapidly, avoid being trapped into local optimum, and localize the odor source position exactly. According to the contrastive analysis on the experimental results, this method has apparent advantages. There is remarkable improvement in the validity, reliability and search efficiency for the robot in odor source localization.
机译:气味源检测危险化学泄漏对于生产和生命的安全性是显着的。由于其风险和特异性,机器人气味源本地化是近年来学者的一致研究。由于在气味源的扩散中形成的羽毛具有随机性和间歇性的特征,因此机器人易于被困在具有低搜索效率的搜索过程中的局部最佳状态。通过修改爆炸幅度在某种程度上改变了现有的烟花算法(FWA),并且本文提出了基于改进的FWA(OSL-FWA)的移动机器人气味源定位。不参考风向信息,机器人可以找到羽流,迅速跟踪,避免被捕获到局部最佳,并确切地定位了气味源位置。根据实验结果的对比分析,该方法具有明显的优点。在气味源定位中机器人的有效性,可靠性和搜索效率显着提高。

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