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基于特征模型的柔性关节机械臂的控制 被引量:2

A Study on Characteristic Model Based Control for Flexible Joint Manipulator
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摘要 基于特征建模的思想,用二阶时变差分方程形式建立柔性关节机械臂特征模型,并应用该模型结合自适应控制对柔性关节机械臂控制进行了研究。该方法的特点是不需要计算系统的动力学模型,只根据系统的输入输出通过参数估计算法估计出时变差分方程的参数,设计智能控制器,它设计简单,使用方便。通过仿真研究表明该方法的有效性。 The plant characteristic model description of flexible joint manipulator is carried out by using second order time varying difference equation, and the characteristic model based control of flexible joint manipulator combined with adaptive control method is constructed. The main idea of this method is to design intelligent controller by means of estimating the parameters of the equation according to the input and output of the system without computing the dynamic model of the system. It is simple and feasible. Comparing simulation results to that from other method can prove the effectiveness of the method.
作者 邱志成
出处 《系统仿真学报》 CAS CSCD 2002年第8期971-974,共4页 Journal of System Simulation
基金 国家自然科学基金资助项目(批准号:60034010)
关键词 特征模型 柔性关节机械臂 机器人 自适应控制 robot flexible joint characteristic model adaptive control
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参考文献6

  • 1[1]Readman M C. Flexible Joint Robobts [M]. CRC Press, 1994.
  • 2[2]Spong M W. Robot Dynamics and Control [M]. New York: John Wiley & Sons, 1989.
  • 3[3]Ghorbel F, Hung J Y, Spong M W. Adaptive Control of Flexible Joint Manipulators [A]. Proceedings on 1989 IEEE Conference on Robotics and Automation [C]. 1188-1193.
  • 4[4]De Luca A, Isidori A, Nicolo F. Control of robot arm with elastic joints via nonlinear dynamics feedback [A]. The IEEE 24th Conference on Decision and Control, Ft Lauderdale, 1985. 1671-1679.
  • 5[5]Yu J S, Hu R, Mueller P C. An Approach to Adaptive Decentralized Control of Flexible Joint Robots [A]. Proceedings of the 1993 IEEE/RJS International Conference on Intelligent Robots and Systems [C], Japan, 26-30, 1993.
  • 6吴宏鑫,刘一武,刘忠汉,解永春.特征建模与挠性结构的控制[J].中国科学(E辑),2001,31(2):137-149. 被引量:46

二级参考文献2

共引文献45

同被引文献15

  • 1彭济根,倪元华,乔红.柔性关节机操手的神经网络控制[J].自动化学报,2007,33(2):175-180. 被引量:23
  • 2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.
  • 3Spong M W. Modeling and Control of Elastic Joint Robots[J].Transaction of the ASME: Journal of Dynamic Systems, Measurement, and Control, 1987,109(4) : 310-319.
  • 4Spong M W. Adaptive Control of Flexible Joint Manipulators[J].Systems and Control Letters, 1989, 13(1) :15-21.
  • 5Erbarur K,Vinter R B, Kaynak O. Feedback Linearization Control for a 3--DOF Flexible Joint Elbow Manipulator[C]//Proceedings of the 1994 IEEE International Conference on Robotics and Automation. San Diego, 1994 : 2979-2984.
  • 6Spong M W. Modeling and Control of Elastic Joint Robots [J]. Transaction of the ASME: Journal of Dynamic Systems, Measurement, and Control (S0022-0434), 1987, 109(4): 310-319.
  • 7Huang A C, Chen Y C. Adaptive Sliding Control for Single-Link Flexible-Joint Robot with Mismatched Uncertainties [J]. IEEE Transactions on Control Systems Technology (S1063-6536), 2004, 12(5): 770-775.
  • 8Chien M C, Huang A C. Adaptive Control for Flexible-Joint Electrically Driven Robot with Time-Varying Uncertainties [J]. IEEE Transactions on Industrial Electronics (S0278-0046), 2007, 54(2): 1032-1038.
  • 9Abdollahi F, Talebi H A, Patel R V. A Stable Neural Network- Based Observer with Application to Flexible-Joint Manipulators [J]. IEEE Transactions on Neural Networks (S1045-9227), 2006, 17(1): 118-129.
  • 10Onder E M, Kaynak O, Yu X H, et al. Sliding Mode Control of Nonlinear Systems Using Gaussian Radial Basis Function Neural Networks [C]// International Joint Conference on Neural Networks. Washington, DC, USA: IEEE, 2001, 1: 474-479.

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