期刊文献+

3-RPC并联机构微运动分析及控制仿真 被引量:1

Micro-Motion Analysis and Simulation for the 3-RPC Parallel Manipulator
下载PDF
导出
摘要 采用微运动法求解并联机构的Jacobian矩阵,可避免传统螺旋法解超越方程组的难题,且得到的矩阵是非奇异方阵。基于3-RPC并联机构模型,运用微运动法求解机构的Jacobian矩阵,将其作为控制系统的输入输出理论参考值。建立机构的Solid Works三维模型,并转化为Matlab/Sim Mechanics仿真分析模型。基于比例切换控制律设计滑模变结构控制器(SMC),采用Lyapunov函数证明SMC控制器的稳定性,分别建立PID控制器和SMC控制器的Matlab/Simulink系统框图并进行仿真分析与对比,结果表明:SMC控制器的轨迹跟踪精度比PID控制器的高,且响应速度快,鲁棒性强,从而验证了SMC控制的有效性。 The Jacob ian matrix of 3-RPC parallel manipulator is solved by micro-motion method, which can avoid the problem of solving transcendental equations using traditional spiral method and the resulting matrix is non-singular square matrix. Based on the model of 3-RPC parallel manipulator, we solve its Jacobian matrix by micro-motion method and the Jacobian matrix is theoretical reference value for control system. The three-dimensional model of3-RPC/s established by SolidWorks soft and it is transformed to Matlab/SimMechanics model for simulation using Matlab soft. The sliding model controller (SMC) is designed by proportional switching control law, then we prove the stability of SMC controller based on the Lyapunov function. We compare the effect of PID controller with SMC controller, the results show that the trajectory travking precision of SMC controller is higher than that of PID controller, and the SMC controller has faster response speed and better robustness.
出处 《机械设计与制造》 北大核心 2017年第2期222-225,230,共5页 Machinery Design & Manufacture
基金 国家自然科学基金资助项目(51165009 51105077) 中国博士后科学基金资助项目(2013M541874) 江西省自然科学基金重点资助项目(20142BAB206019) 江西省教育厅科技计划项目(GJJ14422) 江西省科技厅-江西省自然科学基金项目(20151BAB206034)
关键词 3-RPC并联机构 微运动分析 PID控制 SMC控制 MATLAB仿真 3-RPC Parallel Manipulator Micro-Motion Analysis PID Controller SMC Controller Matlab Simulation
  • 相关文献

参考文献1

二级参考文献7

  • 1Kim J H,Jeung E T,Park H B.Robust control for parameter uncertain delay systems in state and control input [J].Automatic,1996,32 (9):1337-1339.
  • 2Oh S R,Agrawal S K.A reference governor based controller for a cable robot under input constraints[J].IEEE transactions on control systems technology,2005,13 (4):639-645.
  • 3Park M K,Lee M C.The design of sliding mode controller with perturbation observer for a 6-DOF parallel manipulator[C].IEEE Int Sympesiumon Industrial Electronics.Korea,2001:150221507.
  • 4Chung I F,C hang H H,Lin C T.Fuzzy control of a six-degree moti on platform stability analysis (A).Proceedings of the IEEE International Conference on System,Man,and Cybernetics[C].Tokyo:IEEE,1999(1):325-330.
  • 5刘延斌,韩秀英,许晖.3-RRRT并联机器人解耦的反演自适应动态滑模控制[J].系统仿真学报,2008,20(14):3633-3636. 被引量:8
  • 6谢平,杜义浩,田培涛,刘彬.一种并联机器人误差综合补偿方法[J].机械工程学报,2012,48(9):43-49. 被引量:23
  • 7张秀峰,孙立宁.精密并联机器人控制算法及控制系统研究[J].机械工程学报,2004,40(4):177-180. 被引量:11

同被引文献8

引证文献1

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