Wheel angular velocity stabilization using rough encoder data

M. Sotnikova, E. Veremey, N. Zhabko
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引用次数: 2

Abstract

The paper is devoted to the problem of wheel angular velocity stabilization using encoder data. The differential drive robot with four wheels is used as a mobile robot. The left wheels and right wheels are controlled separately. This allows robot to move forward or backward if we apply equal control signal for both sides' wheels, or to turn left or right if the control for left and right wheels is different. It is well-known that for differential drive robots the robot wheels angular velocity is slightly different even if the same control input is applied for left and right wheels. This lead to the arc trajectories of the robot instead of straight lines. To overcome this problem it's necessary to use some internal low-level controller for wheels angular velocity stabilization. In order to stabilize angular velocity we need estimation of its current value, which can be obtained using encoder data. The algorithm for angular velocity estimation and stabilization using rough encoder data is proposed. The simulation study and practical real-time implementation for a particular differential drive robot are presented using Matlab and Arduino environment.
车轮角速度稳定使用粗糙编码器数据
研究了利用编码器数据实现车轮角速度稳定的问题。采用四轮差动驱动机器人作为移动机器人。左右两轮分别控制。这允许机器人向前或向后移动,如果我们对两边的轮子施加相同的控制信号,或者向左或向右转,如果左右轮子的控制不同。众所周知,对于差速驱动机器人,即使对左右轮施加相同的控制输入,机器人的车轮角速度也会略有不同。这导致了机器人的弧线轨迹而不是直线。为了克服这个问题,有必要使用一些内部低级控制器来稳定车轮角速度。为了稳定角速度,我们需要估计角速度的当前值,这可以通过编码器数据得到。提出了利用粗糙编码器数据进行角速度估计和稳定化的算法。在Matlab和Arduino环境下,对某型差动驱动机器人进行了仿真研究和实际实时实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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