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Self-Tuning Fuzzy PID Control of a Four-Mecanum Wheel Omni-directional Mobile Platform

机译:四麦克纳轮全向移动平台的自整定模糊PID控制

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In this paper we restrict our attention to self-tuning control of a four-Mecanum mobile robot and present detailed kinematics and controller architecture of a robot. Since the Mecanum wheels worked based on slipping, therefore, its wheels may slip due to various floor conditions. During such a slip condition, Mecanum wheeled robot moves in unexpected path. In order to reduce this error, four incremental encoders are utilized. Then the fuzzy PID controller is described. This proposed controller can be implemented in microcontroller easily. Finally, the merit of the controller is investigated experimentally. Results show that the Self-Tuning Fuzzy PID Control and encoder sensors provide a reasonable structure for Mecanum wheel robot.
机译:在本文中,我们将注意力集中在四Mecanum移动机器人的自整定控制上,并介绍了机器人的详细运动学和控制器架构。由于Mecanum车轮是基于打滑而工作的,因此,由于各种地面条件,其车轮可能会打滑。在这种打滑情况下,麦克卡纳姆轮式机器人会以意想不到的路径运动。为了减少此错误,使用了四个增量编码器。然后描述了模糊PID控制器。所提出的控制器可以很容易地在微控制器中实现。最后,对控制器的优点进行了实验研究。结果表明,自整定模糊PID控制和编码器传感器为Mecanum轮式机器人提供了合理的结构。

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