Kinematics control of wheeled robot based on angular rate sensors

Diansheng Chen, Feng Bai, Lin Wu
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引用次数: 4

Abstract

To improve the navigation precision of the ground wheeled robot, implement the autonomous kinematics motion control, and overcome the yawing problem when only using an optical encoder, a small-sized, low cost and reusable independent angular rate sensor (gyroscope) module based on iMEMS technique is used. The kinematics model of the robot is explained, and the principle that a robot can move straight based on a gyroscope is proposed. The angular rate is sampled to get the yawing angle of the robot and then it is inputted into a digital PID controller with a dead zone. The incremental speeds of each of the two driving wheels are calculated to attenuate the deviation. Methods for the robot to turn a fixed angle or move along a polygon are also presented. Experiments show that these algorithms have effectively improved the performance the robot moves rather than using time-consuming algorithms or installing bulky and power cost computers.
基于角速率传感器的轮式机器人运动学控制
为了提高地面轮式机器人的导航精度,实现自主运动学运动控制,克服仅使用光学编码器时的偏航问题,采用了一种基于iMEMS技术的小尺寸、低成本、可重复使用的独立角速率传感器(陀螺仪)模块。阐述了机器人的运动学模型,提出了基于陀螺仪的机器人直线运动原理。对角速率进行采样得到机器人的偏航角,然后将其输入到带死区的数字PID控制器中。计算两个驱动轮的增量速度以减小偏差。给出了机器人旋转固定角度或沿多边形移动的方法。实验表明,这些算法有效地提高了机器人的运动性能,而不是使用耗时的算法或安装体积大和功耗高的计算机。
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