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

机译:并行级联模糊方法实现目标的自动制导车辆仿真软件开发

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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.
机译:在自动引导车辆机器人的开发过程中,环境变化被认为是问题。并行级联模糊是针对不稳定的操作环境而开发的一种专用方法。在先前的研究中,尚未实现并行级联模糊以达到目标区域。在这项研究中,自动引导车辆机器人使用了并行级联模糊技术来避开障碍物并到达目标区域。测试阶段涉及的另一种模糊算法,用于比较并行级联模糊算法的性能。在机器人运动控制系统的开发中,可以使用能够揭示这种方法的工作模式的仿真软件来简化测试过程。

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