不同类型模糊逻辑在移动机器人避障中的应用

2018 International Conference on Electrical Engineering and Computer Science (ICECOS) Pub Date : 2018-10-01 DOI:10.1109/ICECOS.2018.8605206

Andry Meylani, A. Handayani, Ciksadan, Carlos Rs, N. Husni, S. Nurmaini, I. Yani

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引用次数: 5

摘要

本文比较了T1FLS (Type 1 Fuzzy Logic System)和IT2FLS (Interval Type 2 Fuzzy Logic System)在不同环境、起始目标点和障碍物数量下的避障性能，并在matlab上进行了仿真。通过分析移动机器人在不同类型的FLS上到达目标所需的时间进行比较。具有类型减速器的IT2FLS处理数据的速度比T1FLS慢。实验结果表明，与T1FLS相比，IT2FLS具有较好的性能，但IT2FLS存在处理算法时间稍长的缺点。

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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Different Types of Fuzzy Logic in Obstacles Avoidance of Mobile Robot

This paper presents a comparison of T1FLS (Type 1 Fuzzy Logic System) and IT2FLS (Interval Type 2 Fuzzy Logic System) Performancewith the simulation on matlab of mobile robot for obstacle avoidance in different environment, start-target point, and number of obstacles. A comparison is done by analyzing the time taken by the mobile robot in reaching the target on each type of FLS. IT2FLS, which has a type-reducer, process data more slowly than T1FLS to making1 decisions. Therefore, it takes more times to reach the target Experimental result shows that IT2FLS produce good performance compare to T1FLS, but IT2FLS has the disadvantages of processing algorithms a little longer.

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2018 International Conference on Electrical Engineering and Computer Science (ICECOS)

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