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Fuzzy logic based obstacle avoidance strategy for mobile robot

机译:基于模糊逻辑的移动机器人避障策略

摘要

The application of mobile robot often used in an inappropriate place for human. Sometime, it would involve in unknown environment. Obstacle avoidance are the key feature to control the mobile robot in order to avoid collision which provide safety to the mobile robot and the environment object. Obstacle avoidance is basically a strategy to define an obstacle by processing the distance between it, decision making in controller and giving output which control the movement or motion of the mobile robot. In this research, an obstacle avoidance strategy is using fuzzy logic approach to control the action of mobile robot was designed. The simulation design and algorithms of the obstacle avoidance with fuzzy inference system is described. The consideration of obstacle are depend on the data calculated throughout the design. The result shown are included on three model which is the target driven model, obstacle avoidance target driven model and multiple obstacle avoidance target driven model. The mobile robot are able to avoid all obstacle that set on the simulation environment.
机译:移动机器人的应用经常在不适合人类的地方使用。有时,它将涉及未知的环境。避障是控制移动机器人以避免碰撞的关键特征,这为移动机器人和环境物体提供了安全。避障基本上是一种通过处理障碍物之间的距离,在控制器中进行决策并提供控制移动机器人的运动或运动的输出来定义障碍物的策略。在这项研究中,采用模糊逻辑方法来控制移动机器人的动作是一种避障策略。描述了模糊推理系统避障的仿真设计和算法。障碍物的考虑取决于整个设计中计算的数据。显示的结果包含在三个模型中,分别是目标驱动模型,避障目标驱动模型和多避障目标驱动模型。移动机器人能够避免在模拟环境中设置的所有障碍。

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    Lee Jeng Ye;

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  • 年度 2016
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