基于粒子群优化算法的气体搜索群体机器人实现

Computer Engineering and Applications Pub Date : 2017-10-31 DOI:10.18495/comengapp.v6i3.221

N. Husni, A. Silvia, S. Nurmaini, Falah Yuridho, I. Yani

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引用次数: 1

摘要

在本研究中，采用粒子群算法对气体泄漏进行搜索。使用由黄、蓝、绿3个agent组成的swarm robot。本研究分为模拟实验和真实实验两类。仿真验证采用Matlab进行，实际实验采用2 × 2 m的舞台。实验结果表明，采用粒子群算法可以获得较好的游动性能。

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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Swarm Robot Implementation in Gas Searching Using Particle Swarm Optimization Algorithm

In this reseach, a PSO method is impelemented in searching a gas leakage. A swarm robot consisted of 3 agents, yelow, blue, and green, was used. The research was done in 2 type of experiments, i.e. in simulation and real expeiment. A Matlab is used as a simulation validation while for the real experiment, a 2 x 2 m arena is used. From the experiment, it can be concluded that a good performance of a swam can be achieved using PSO method.

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Computer Engineering and Applications

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