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首页> 外文期刊>International journal on engineering applications >Fuzzy Controller Optimization for a Mobile Robot Navigation
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Fuzzy Controller Optimization for a Mobile Robot Navigation

机译:移动机器人导航的模糊控制器优化

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This paper tackles the subject of the motion command of a wheeled mobile robot. A fuzzy logic controller (FLC) has been developed and implemented for the motion of the robot from an initial position towards another desired position, taking into account the Kinematic constraints. First, we have carried out a simulation of a fuzzy logic based controller which determines the speed values of each driving wheel, while seeking the goal. An optimization of this controller has been realized by the gradient method. The ''real-time " implementation has been realized onto the mini robot Khepera II. The results obtained through simulation and through experimentation are discussed and compared.
机译:本文解决了轮式移动机器人的运动命令的主题。 考虑到运动限制,已经开发并实施了机器人从初始位置的初始位置的运动来开发和实现了模糊逻辑控制器(FLC)。 首先,我们已经进行了模糊基于逻辑的控制器,该控制器确定每个驱动轮的速度值,同时寻找目标。 通过梯度方法实现了该控制器的优化。 “实时”实施已经实现在迷你机器人Khepera II上。讨论并比较通过模拟和通过实验获得的结果。

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