基于误差模型的SS方程的WMR弹道控制器的可行性

Yang Qev, Mesho Meshach
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摘要

关于wmr的研究越来越多。wmr有很多优点:它们的机械系统通常很简单;整个运动大多包含两个相互依赖的马达;它们在二维空间中的运动具有很强的适应性。同时,WMRs具有更好的功率效率。人们从建模控制、避障、定位、侧翻稳定性等多个角度对wmr进行了研究。本文讨论了控制算法。wmr具有非完整约束。即移动机器人可能无法在特定的时间内到达特定的位置和角度;然而,机器人可以在不同的运动或在有限的时间内到达目标。本文介绍了一种基于WMR的误差模型。该模型解释了wmr在连续运动中实际位置与理想位置或目标位置之间的误差。将误差模型转化为状态空间方程,以证明控制WMR运动的算法是可控的。通过将输入分解为和,将整个方程转化为零输入状态空间系统。然后,通过对反馈的优化,使误差最小化。结果表明,通过优化时变反馈矩阵,误差渐近稳定并接近于零。因此,通过在控制器中加入该控制律,得到了一种使移动机器人沿规划轨迹运动的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Feasibility of Trajectory Controller by SS Equation of an Error Model in WMR
There has been an increasing amount of research on WMRs. The WMRs have lots of advantages: their mechanical system is usually simple; the whole movement mostly contains two dependent motors; and their motions in two-dimensional space are quite adaptable. At the same time, the WMRs have better power efficiency. WMRs have been studied from many points of view, such as modelling control, obstacle avoidance, localization, tip-over stability, and so on. This paper discusses the control algorithm. WMRs have nonholonomic constraints. That is, the mobile robot may not be able to reach a specific position and angle in a specific time; however, the robot can reach the target in a different motion or within a limited time. In this paper, an error model based on the WMR is introduced. The model explains the error between the actual position and the ideal or target position in the continuous motion of WMRs. The error model will be transformed into a state-space equation in order to demonstrate that the algorithm that controls the WMR`s movement is controllable. By splitting the inputs  into  and , the whole equation is transformed into a zero-input state-space system. Then, the errors can be minimized with the optimization of the feedback. The results show that by optimizing the time-varying feedback matrix, the error is asymptotically stable and close to zero. Therefore, by adding this control law to the controller, an approach to making mobile robots follow the planned trajectory is obtained.
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