期刊文献+

基于模糊微分先行PD算法的移动机器人轨迹跟踪控制

Tracking Control of Mobile Robot Based on Fuzzy Differential Advanced PD Algorithms
下载PDF
导出
摘要 本文针对全方位轮式移动机器人的轨迹跟踪问题提出一种"模糊自整定的微分先行PD"的控制方法,并建立运动学控制模型,进行模糊微分先行PD算法控制器的设计,最后在MATLAB/Simulink中进行仿真。仿真结果表明,基于模糊微分先行PD算法对机器人轨迹跟踪控制是有效的。 Aiming at the trajectory tracking problem of omnidirectional wheeled mobile robot, this paper presented a control method of "fuzzy self-tuning differential advance PD", established a kinematics control model, designed the controller of fuzzy differential advance PD algorithm, and finally simulated it in MATLAB/Simulink. The simulation results showed that the trajectory tracking control based on fuzzy differential prior PD algorithm was effective.
作者 赵洪坤 窦忠宇 龙成万 ZHAO Hongkun;DOU Zhongyu;LONG Chengwan(Anshun College,Anshun Guizhou 561000)
机构地区 安顺学院
出处 《河南科技》 2018年第32期26-28,共3页 Henan Science and Technology
基金 安顺学院大学生SRT项目资助(2017SRT09)
关键词 移动机器人 模糊控制 轨迹跟踪 mobile robot fuzzy control trajectory tracking
  • 相关文献

参考文献3

二级参考文献25

  • 1胡春雄,布春明,李海峰.智能巡检系统在线路运行中的应用[J].山西电力,2006(B10):29-30. 被引量:9
  • 2崔豫平,姚兆民.变电设备智能巡检系统的开发与应用[J].山西电力,2006(B10):35-36. 被引量:8
  • 3杨世胜,张宾,于曙风,陈至青.电磁诱导农用喷雾机器人路径导航系统的设计与实现[J].机器人,2007,29(1):78-81. 被引量:26
  • 4刘金琨.机器人控制系统的设计与MATLAB仿真[M].北京:清华大学出版社,2008.
  • 5S Arimoto, S Kawamura, et al. Bettering operation of robotics by learning [ J]. Journal of Robotic System, 1984,1 (2) : 123 - 140.
  • 6Fali Ma, Chuandong Li. Open-closed-loop PID-type iterafive learning control for linear systems with initial state error[ J].Journal of Vibration and Control,2010,17(12) : 1791 - 1797.
  • 7JianMing Wei, YunAn Hu. Open-closed-loop PD-type iterative learning control with variable gains[ J]. Springer-Verlag Berlin Heidelberg, 2011,592- 597.
  • 8C T Freeman, P L Lewin, E Rogers, et al. Iterafive learning control applied to a gantry robot and conveyor system [ J ]. Transactions of the Institute of Measurement and Control, 2010,32(3) :251 - 264.
  • 9Cbiang-Ju Chien.A Combined Adaptive Law for Fuzzy itera- five learning control of nonlinear systems with varying control tasks[ J]. [FEE Transactions on Fuzzy Systems, 2008, 16( 1 ) : 40- 51.
  • 10Chris T. Freeman. Constrained point-to-point iterative learning control with experimental verification[ J ]. Control Engineering Practice,2012,20(5) :489 - 498.

共引文献64

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