期刊文献+

基于自适应分级滑模控制的球形机器人定位控制 被引量:5

Positioning control of a spherical robot based on adaptive hierarchical sliding mode control
下载PDF
导出
摘要 探讨一种三驱动球形机器人的定位控制问题,提出基于控制增益自适应调节的分级滑模控制方法。相比于现有定位控制方法,所提出的控制方法对于系统不确定性具有很强的鲁棒性。将球形机器人系统分解为球体子系统和偏心质块子系统,并在此基础上分别设计系统的各级滑动面。基于Lyapunov函数法选取分级滑模控制律和控制增益自适应律,并采用边界层法削弱分级滑模控制器的抖振。应用Barbalat引理证明闭环系统的稳定性,并利用数值仿真实验验证所提控制方法的可行性和有效性。数值仿真结果表明,该控制方法能够实现带有不确定性的球形机器人系统的定位控制。 The positioning control problem of a triple-drive spherical robot is discussed, and a hierarchical sliding mode control method based on adaptive control gain regulation is proposed.Compared with the existing positioning control methods, the proposed control method has strong robustness against system uncertainties. The spherical robot system is decomposed into sphere subsystem and eccentric mass subsystem, based on which the sliding surfaces of both levels are designed respectively. The hierarchical sliding mode control law and control gain adaption law are selected based on Lyapunov function approach, and the chattering of the hierarchical sliding mode controller is reduced by adopting boundary layer method. The stability of the closed-loop system is proved by applying Barbalat's lemma, and numerical simulation tests are utilized to verify the feasibility and effectiveness of the proposed control method. Numerical simulation results show that positioning control of the spherical robot system with uncertainties can be achieved by the proposed control method.
作者 于涛 孙汉旭 赵伟 杨昆 YU Tao1, SUN Hanxu2, ZHAO Wei3, YANG Kun1(1. College of Mechanical Engineering and Automation,Liaoning University of Technology,Jinzhou 121001,China ;2. School of Automation,Beijing University of Posts and Telecommunications,Beijing 100876, China;3. School of Information Engineering,Beijing Institute of Graphic Communication,Beijing 102600, Chin)
出处 《中国测试》 CAS 北大核心 2018年第5期97-102,共6页 China Measurement & Test
基金 国家自然科学基金面上项目(51175048) 辽宁省自然科学基金指导计划项目(201602379) 辽宁省教育厅科学技术研究一般项目(L2015241)
关键词 三驱动 球形机器人 定位控制 自适应分级滑模控制 triple-drive spherical robot positioning control adaptive hierarchical sliding mode control
  • 相关文献

参考文献5

二级参考文献39

  • 1岳明,邓宗全.球形机器人爬坡状态下动力学建模及最优控制器设计[J].机械工程学报,2009,45(11):46-51. 被引量:6
  • 2Zhan Qiang,Jia Chuan,Ma Xiaohui,Zhai Yutao.MECHANISM DESIGN AND MOTION ANALYSIS OF A SPHERICAL MOBILE ROBOT[J].Chinese Journal of Mechanical Engineering,2005,18(4):542-545. 被引量:16
  • 3闵颖颖,刘允刚.Barbalat引理及其在系统稳定性分析中的应用[J].山东大学学报(工学版),2007,37(1):51-55. 被引量:103
  • 4岳明,邓宗全.基于状态观测器的球形机器人状态反馈控制系统设计[J].光学精密工程,2007,15(6):878-883. 被引量:8
  • 5Vapnik V. The nature of statistical learning theory [ M ]. New York : Springer-Verlog, 1995 : 181-219.
  • 6Ou Yongsheng, Xu Yangsheng. Learning human control strategy for dynamically stable robots: support vector ma- chine approach[ C ]//2003 IEEE International Conference on Robotics and Automation. Taipei: IEEE Press, 2003: 3455 -3460.
  • 7I-Iuang Paufeng, Xu Yangsheng. SVM-based learning control of space robots in capturing operation [ J ]. Inter- national Journal of Neural Systems, 2007, 17 (6) : 467- 477.
  • 8Lee Ho-Hoon, Choi Seung-Gap. A model-based anti-swing control of overhead cranes with high hoisting speeds. In:Proceedings of the 2001 IEEE International Conference on Robotics & Automation, Seonl, Korta: IEEE Computer Society Press, 2001, 2547~2552
  • 9Giorgio Corriga, Alessandro Giua, Giampaolo Usai. An implicit gain-scheduling controller for cranes. IEEE Transactions on Control Systems Technology, 1998, 6(1): 15-20
  • 10Mendez J A, Acosta L, Moreno L, Hamilton A, Marichal G N. Design of a neural network based self-tuning controller for an overhead crane. In: Proceedings of the 1998 IEEE International Conference on Control Application, Trieste, Italy: Control Systems Soci

共引文献45

同被引文献25

引证文献5

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部