期刊文献+

室内环境中脑控轮椅的路径跟踪控制 被引量:2

Path Tracking Control of Brain-controlled Wheelchair under Indoor Environment
下载PDF
导出
摘要 为了实现室内环境中脑控轮椅的自主导航,提出了一种简单有效的路径跟踪控制方法;给定的路径通常被表示为一系列离散点,根据这一特点,提出了分段直线路径跟踪方法,即依次跟踪由前后两个路径点构成的直线路径到达目标点;基于预瞄点技术并结合模糊算法和传统的PID控制方法设计控制器,完成各分段直线路径的跟踪,并给出了有效的切换条件;实验结果表明,文章提出的路径跟踪控制方法能够使脑控轮椅在室内环境中精确地跟踪给定路径。 In order to achieve autonomous navigation for brain-controlled wheelchairs under indoor environment,a simple and effective path tracking control method is presented.The given path is usually expressed as a series of discrete points,according to this,a piecewise straight path tracking method is proposed,i.e.,track the straight path constituted by two adjacent path points successively to reach the target point.Based on the preview point technology,as well as the combination of fuzzy algorithm and traditional PID control method,the controller is designed to complete the tracking of each piecewise linear path,in addition,an efficient switching condition is given.Finally,experiments are run to testify the proposed path tracking control method and experimental results show that the method can preserve the wheelchair on its desired path precisely under indoor environment even though the disturbance level is of high value.
出处 《计算机测量与控制》 2015年第1期93-95,共3页 Computer Measurement &Control
基金 国家高技术研究发展计划(863计划)(2012AA011601) 国家自然科学基金(91120305)
关键词 路径跟踪 模糊控制 比例积分微分控制 脑控轮椅 path tracking fuzzy control PID control brain-controlled wheelchair
  • 相关文献

参考文献7

  • 1刘甜,李远清,王洪涛,胡友盼.基于超声波传感器的脑控轮椅避障系统的研究[J].计算机测量与控制,2012,20(9):2393-2395. 被引量:4
  • 2Barzamini R, Yazdizadeh A R, Rahmani A H. A new adaptive tracking control for wheeled mobile robot [A]. Robotics, Automa- tion and Mechatronics, 2006 IEEE Conference on [C]. IEEE, 2006: 1-6.
  • 3Solea R, Nunes U, Filipescu A, et al. Sliding Mode Control for Trajectory Tracking of an Intelligent Wheelchair [J]. Annals of" Dunarea de Jos" University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics, 2009, 32 (2): 42 -50.
  • 4Liu N. Intelligent path following method for nonholonomic robot u- sing fuzzy control [A]. Intelligent Networks and Intelligent Sys- tems, 2009. ICINIS'09. Second International Conference on I-C]. IEEE, 2009 282-285.
  • 5Chen L, Wang S, Hu H, et al. Bzier curve based trajectory plan- ning for an intelligent wheelchair to pass a doorway EA']. 9th Unit- ed Kingdom Automatic Control Council International Conference on Control [-C. 2012, 339-344.
  • 6夏嘉廷,余忠华,刘继忠.基于视觉导航的智能轮椅控制系统[J].计算机工程,2011,37(16):197-199. 被引量:3
  • 7李红志,李亮,宋健,于良耀,吴凯辉,张小龙.预瞄时间自适应的最优预瞄驾驶员模型[J].机械工程学报,2010,46(20):106-111. 被引量:35

二级参考文献24

  • 1栾昌海,王盟.基于机器人的多路超声波测距系统设计研究[J].信息技术,2006,30(2):103-105. 被引量:5
  • 2陈无畏,孙海涛,李碧春,王启瑞,李进.基于标识线导航的自动导引车跟踪控制[J].机械工程学报,2006,42(8):164-170. 被引量:35
  • 3龚建伟,熊光明.VisualC++/TurboC串口通信编程实践[M].北京:电子工业出版社,2007.
  • 4MACADAM C C. Understanding and modeling the human driver[J]. Vehicle System Dynamics, 2003, 40(1-3): 101-134.
  • 5PLOCHL M, EDELMANN J. Driver models in automobile dynamics application[J]. Vehicle System Dynamics, 2007, 45(7-8): 699-741.
  • 6MACADAM C C. Application of an optimal preview control for simulation of closed-loop automobile driving[J]. IEEE Transactions on Systems, Man and Cybernetics, 1981(6): 393-399.
  • 7HATTORI Y, ONO E, HOSOE S. Optimum vehicle trajectory control for obstacle avoidance problem[J]. IEEE/ASME Transactions on Mechatronics, 2006, 11(5): 507-512.
  • 8FALCONE P, BORRELLI F, ASGARI J, et al. Predictive active steering control for autonomous vehicle systems[J]. IEEE Transactions on Control Systems Technology, 2007, 15(3): 566-580.
  • 9UNGOREN A Y, PENG H. An adaptive lateral preview driver model[J]. Vehicle System Dynamics, 2005, 43(4): 245-260.
  • 10THOMMYPPILLAI M, EVANGELOU S, SHARP R S. Car driving at the limit by adaptive linear optimal preview control[J]. Vehicle System Dynamics, 2009, 47(12): 1535-1550.

共引文献39

同被引文献25

引证文献2

二级引证文献16

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