期刊文献+

基于功率键合图理论的陶瓷磨抛力控执行器的建模与仿真研究

Modeling and simulation research of ceramic grinding and polishing force control system based on power bonding diagram theory
在线阅读 下载PDF
导出
摘要 为提高磨抛机器人末端恒力执行器在不同工况下的位置跟踪和接触力跟踪性能,并减小力位切换控制时的执行器位移误差和接触力误差,文中运用功率键合图法对机器人末端执行器进行建模,并提出一种滑膜模糊阻抗力位切换控制策略,在AMESim软件中对恒力执行器进行动态仿真并搭建实验验证平台进行验证,实验结果表明:该控制策略可以使机器人末端力控执行器具有更好的力位跟踪性能,同时可以减小力位切换控制时的力位跟踪误差。 In order to improve the position tracking and contact force tracking performance of the constant force actuator at the end of the grinding and polishing robot under different working conditions,and to reduce the actuator displacement error and contact force error during force-position switching control,this paper uses the power bonding diagram method to model the robot end actuator and proposes a slip film fuzzy impedance force-position switching control strategy,and carries out dynamic simulation of the constant force actuator in AMESim software and builds an experimental platform.The experimental results show that the control strategy can improve the force tracking performance of the robot end-effector and reduce the force tracking error during force level switching control.
作者 阮正达 乔志峰 RUAN Zhengda;QIAO Zhifeng(Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control,Tianjin University of Technology,Tianjin 300384,China;National Demonstration Center for Experimental Mechanical and Electrical Engineering Education,Tianjin University of Technology,Tianjin 300384,China)
出处 《天津理工大学学报》 2024年第6期34-40,共7页 Journal of Tianjin University of Technology
基金 天津市新一代人工智能科技重大专项(19ZXZNGX00100) 天津市企业科技特派员项目(20YDTPJC00790,20YDTPJC01730)。
关键词 气压传动 功率键合图 机器人磨抛系统 联合仿真 滑膜控制 pneumatic transmission power bonding diagram robotic grinding and polishing system co-simulation synovial control
作者简介 阮正达(1998-),男,硕士研究生,研究方向:智能制造技术、打磨工艺设计等,E-mail:2821129690@qq.com;通信作者:乔志峰(1985-),男,讲师,博士,研究方向:机器人控制系统设计、智能制造技术等,E-mail:qiaozhifeng@163.com。
  • 相关文献

参考文献9

二级参考文献56

  • 1孙常春,靖新,刘玉忠.带有非线性扰动的不确定切换系统鲁棒控制[J].电机与控制学报,2006,10(2):212-215. 被引量:5
  • 2何东健,刘忠超,范灵燕.基于MATLAB的PID控制器参数整定及仿真[J].西安科技大学学报,2006,26(4):511-514. 被引量:42
  • 3金晓宏.大型阀门开度电液控制系统研究[J].武汉冶金科技大学学报,1997,20(2):211-216. 被引量:2
  • 4WANG Xuesong, CHENG Yuhu, PENG Guangzheng. Modeling and self-tuning pressure regulator design for pneumatic pressure-load systems[J]. Control Engineering Practice, 2007, 15(9): 1161-1168.
  • 5KAITWAN1DVILAI S, PARNICHKUN M. Force control in a pneumatic system using hybrid adaptive neuro-fuzzy model reference control[J]. Mechatronics, 2005, 15(1): 23-41.
  • 6CHEN Ying, ZHANG Jianfan, YANG Canjun, et al. Design and hybrid control of the pneumatic force-feedback systems for Arm-Exoskeleton by using on/offvalve[J]. Mechatronics, 2007, 17(6): 325-335.
  • 7WIDROWB,WALACHE.白适应逆控制[M].两安:两安交通大学出版社,2000.
  • 8ANH H P H, AHN K K. Hybrid control of a pneumatic artificial muscle (PAM) robot arm using an inverse NARX fuzzy model[J]. Engineering Applications of Artificial lntelligence, 2011, 24(4): 697-716.
  • 9KUMBASAR T, EKSIN I, GUZELKAYA M, et al. Adap using 2011 ive fuzzy model based inverse controller design BB-BC[J]. Expert Systems with Applications, 38(10): 12356-12364.
  • 10ZENG Ke, ZHANG Naiyao, XU Wenli. A comparative study on sufficient conditions for Takagi-Sugeno fuzzy systems as universal approximators[J]. IEEE Transaction on FuzzySystems, 2000, 8(6): 773-780.

共引文献78

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