[1]任孝平,蔡自兴.基于阿克曼原理的车式移动机器人运动学建模[J].智能系统学报,2009,4(6):534-537.[doi:10.3969/j.issn.1673-4785.2009.06.011]
REN Xiao-ping,CAI Zi-xing.Using the Ackerman principle for kinematic modeling of wheeled mobile robots[J].CAAI Transactions on Intelligent Systems,2009,4(6):534-537.[doi:10.3969/j.issn.1673-4785.2009.06.011]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
4
期数:
2009年第6期
页码:
534-537
栏目:
学术论文—人工智能基础
出版日期:
2009-12-25
- Title:
-
Using the Ackerman principle for kinematic modeling of wheeled mobile robots
- 文章编号:
-
1673-4785(2009)06-0534-04
- 作者:
-
任孝平,蔡自兴
-
中南大学 信息科学与工程学院,湖南 长沙 410083
- Author(s):
-
REN Xiao-ping, CAI Zi-xing
-
School of Information Science & Engineering, Central South University, Changsha 410083, China
-
- 关键词:
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轮式移动机器人; 运动学模型; 阿克曼原理; 转向特性
- Keywords:
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wheeled mobile robot; kinematics model; Ackerman principle; turning characteristics
- 分类号:
-
TP242.6
- DOI:
-
10.3969/j.issn.1673-4785.2009.06.011
- 文献标志码:
-
A
- 摘要:
-
基于阿克曼原理的轮式移动机器人运动学模型对于无人驾驶车辆的研究有着重要的意义.对轮式移动机器人的运动学特性进行了分析,建立了不考虑滑行、刹车等的轮式移动机器人的运动学模型.对该运动学模型引入了阿克曼约束,给出了描述机器人运动状态的转向角、航向角和转弯半径等物理量的数学公式.最后对该运动学模型进行仿真实验,验证了所建立的运动学模型的正确性,为进一步研究轮式移动机器人提供了理论分析的基础.
- Abstract:
-
Applying the Ackerman principle to kinematic modeling of wheeled mobile robots is of vital importance for improving the performance of unmanned autonomous vehicles. The kinematic characteristics of wheeled mobile robots were analyzed in this paper, and a kinematic model was set up that did not consider sliding or braking. The Ackerman principle was then introduced to this kinematic model. Mathematical formulas were proposed for turning angle, steering angle and turning radius. These accurately reflect the movement status of the mobile robot, providing a theoretical basis for analysis of future intelligent vehicles. The conclusions were validated through a simulation.
备注/Memo
收稿日期:2009-10-02.
基金项目:国家自然科学基金资助项目(90820302,60805027);国家博士点基金资助项目(200805330005);湖南省院士基金资助项目(2009FJ4030).
作者简介:
任孝平,男,1984年生,博士研究生,主要研究方向为多机器人系统、通信网络等,发表学术论文10余篇.
蔡自兴,男,1938年生,教授、博士生导师, 国际导航与运动控制科学院院士、中国人工智能学会副理事长、中国自动化学会理事.主要研究方向为人工智能、机器人、智能控制,发表学术论文500余篇.
更新日期/Last Update:
2010-02-22