Odor Source Localization in Low Computational Controller Micro Quadrotor

Nurrizal Alqindi, Muhammad Rausyan Fikri, D. W. Djamari
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引用次数: 1

Abstract

This paper proposes a new approach for odor source localization using a low computational controller in the micro quadcopter. Searching for an odor source is an engineering problem, it can be a simple task if a high-computational controller is implemented. However, in reality, a micro quadcopter has a major constraint: the payload limitation where the high-computational controller can be out of the option. In this case, a low computational controller is employed to complement the searching requirement. In this research, the searching algorithm based on bio-inspired behavior of the silkmoth and noise reduction based on the Savitzky-Golay filter is employed. The odor source localization in the micro quadcopter shows a satisfactory result where the test is validated through experimental validation.
低计算控制器微型四旋翼的气味源定位
本文提出了一种基于低计算控制器的微型四轴飞行器气味源定位新方法。气味源的搜索是一个工程问题,如果实现一个高计算量的控制器,它可以是一个简单的任务。然而,在现实中,微型四轴飞行器有一个主要的限制:有效载荷限制,其中高计算控制器可以不在选项中。在这种情况下,采用低计算量控制器来补充搜索要求。本研究采用了基于蚕蛾仿生行为的搜索算法和基于Savitzky-Golay滤波的降噪算法。臭味源定位在微型四旋翼飞行器中取得了满意的效果,并通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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