A New Iterative Algorithm for the Inverse Kinematic Problem and Its Application to Unmanned Electric Bicycle System

W. Ham, Seunghwan Kim
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引用次数: 4

Abstract

In the former researches (Ingyu Park, et al., 2001), (Sangduck Lee and Woonchul Ham, 2002), (Seonghoon Kim and Woonchul Ham, 2004), we suggested an algorithm which can be used for deriving the nonlinear inverse kinematic problem in unmanned bicycle system by using iterative method. In this short note, we reinforce the former method and propose a new iterative algorithm for a certain type of nonlinear dynamic equation such as inverse kinematics of bicycle system. The idea of proposed algorithm is similar to Piccard's iterative method in basic concept. We also propose a robust control strategy for tracking problem in bicycle system based on nonlinear compensation. In this control algorithm, we invent and attach the load mass balance system for the self stabilization with more ease. From the computer simulation results, we can see that the proposed control algorithm can be applied to the real system.
一种新的反运动学迭代算法及其在无人驾驶电动自行车系统中的应用
在之前的研究中(Ingyu Park, et al., 2001), (Sangduck Lee and Woonchul Ham, 2002), (Seonghoon Kim and Woonchul Ham, 2004),我们提出了一种可以用迭代法求解无人自行车系统非线性逆运动学问题的算法。在这篇简短的笔记中,我们加强了以前的方法,并提出了一种新的迭代算法,用于求解某一类非线性动力学方程,如自行车系统的逆运动学。本文提出的算法在基本概念上与Piccard迭代法相似。针对自行车跟踪问题,提出了一种基于非线性补偿的鲁棒控制策略。在该控制算法中,我们发明并附加了负载质量平衡系统,使其更容易自稳定。计算机仿真结果表明,所提出的控制算法可以应用于实际系统。
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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