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An Experimental Study on Controlling and Obstacle Avoidance of a Four Mecanum Wheeled Robot

机译:四个麦anum轮式机器人控制和避障的实验研究

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This paper presents the process of designing a Fuzzy-PID controller and its implementation on a four Mecanum-wheeled robot. The aforementioned robot can be controlled manually and autonomously. A remote joystick is used for manual controlling of the robot under study. The Fuzzy-PID controller is applied in order to synchronize the proposed robot motors. In the aforesaid controller, the Fuzzy logic are used as tuner of the PID controller coefficients. According to the experimental results, which are obtained based on implementing the proposed Fuzzy-PID controller on the designed four Mecanum-wheeled robot, the proposed controller performance in terms of synchronizing the aforementioned robot's Dc-encoder motors is acceptable. The deviation value of the robot from the desired path is reduced significantly. Furthermore, based on implementing the proposed Fuzzy-PID controller on the robot under study, its the performance in term of steering is improved. Moreover, for the obstacle avoidance task, based on the ultrasonic sensors which are set on the proposed robot, the Fuzzy logic are used. The experimental results revealed that the aforementioned robot performance in terms of obstacle avoidance based on the Fuzzy logic implementation by means of ultrasonic sensors is acceptable. The robot passes the obstacles based on the defined safe distance accurately.
机译:本文介绍了设计模糊PID控制器的过程及其在四个Mecanum轮式机器人上的实现。上述机器人可以手动和自主地控制。远程操纵杆用于手动控制研究的机器人。模糊PID控制器应用于同步所提出的机器人电机。在上述控制器中,模糊逻辑用作PID控制器系数的调谐器。根据实验结果,基于在设计的四个Mecanum轮式机器人上实现所提出的模糊PID控制器获得的实验结果,所提出的控制器性能在同步上述机器人的DC编码器电动机方面是可接受的。从所需路径到所需路径的机器人的偏差值显着降低。此外,基于在研究机器人上实现所提出的模糊PID控制器,改善了转向期间的性能。此外,对于障碍物避免任务,基于在所提出的机器人上设置的超声传感器,使用模糊逻辑。实验结果表明,基于超声传感器的模糊逻辑实现的障碍物避免,上述机器人性能是可接受的。机器人基于精确的定义安全距离通过障碍物。

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