基于并行级联模糊逼近法的自动制导车辆仿真软件开发

2018 2nd International Conference on Informatics and Computational Sciences (ICICoS) Pub Date : 2018-10-01 DOI:10.1109/ICICOS.2018.8621695

Benediktus Wijayanto, A. Wibowo

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引用次数: 2

摘要

环境变化是自动导向车辆机器人开发过程中需要考虑的问题。并联级联模糊是针对易变的工作环境而开发的一种专用方法。在以往的研究中，为了达到目标区域，并没有实现并行级联模糊。本研究将平行级联模糊算法应用于自动引导机器人避障和到达目标区域。另一种模糊算法在测试阶段与并行级联模糊算法的性能进行了比较。在机器人运动控制系统的开发中，可以使用能够揭示该方法工作模式的仿真软件来方便测试过程。

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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Automated Guided Vehicle Simulation Software Development using Parallel Cascade Fuzzy Method for Reaching a Target

Environment change is considered problem in a development process of Auto Guided Vehicle Robots. Parallel cascade fuzzy is a specialized method that developed for volatile operating environment. In the previous study, Parallel cascade fuzzy haven't implemented for reach a goal area. In this study, parallel cascade fuzzy being used by Auto Guided Vehicle robot to avoiding obstacle and reaching goal area. Another fuzzy algorithm involved in the test stage to compare the performance with Parallel Cascade Fuzzy. In the development of robot movement control system, simulation software that able to reveal a working pattern of such method can be used to facilitate the testing process.

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2018 2nd International Conference on Informatics and Computational Sciences (ICICoS)

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