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非最小相位系统的基函数型自适应迭代学习控制

张黎 刘山

张黎, 刘山. 非最小相位系统的基函数型自适应迭代学习控制. 自动化学报, 2014, 40(12): 2716-2725. doi: 10.3724/SP.J.1004.2014.02716
引用本文: 张黎, 刘山. 非最小相位系统的基函数型自适应迭代学习控制. 自动化学报, 2014, 40(12): 2716-2725. doi: 10.3724/SP.J.1004.2014.02716
ZHANG Li, LIU Shan. Basis Function Based Adaptive Iterative Learning Control for Non-minimum Phase Systems. ACTA AUTOMATICA SINICA, 2014, 40(12): 2716-2725. doi: 10.3724/SP.J.1004.2014.02716
Citation: ZHANG Li, LIU Shan. Basis Function Based Adaptive Iterative Learning Control for Non-minimum Phase Systems. ACTA AUTOMATICA SINICA, 2014, 40(12): 2716-2725. doi: 10.3724/SP.J.1004.2014.02716

非最小相位系统的基函数型自适应迭代学习控制

doi: 10.3724/SP.J.1004.2014.02716
基金项目: 

国家自然科学基金(61273133)资助

详细信息
    作者简介:

    张黎 浙江大学控制科学与工程学系硕士研究生. 主要研究方向为迭代学习控制, 柔性机械臂控制.E-mail: zhangli@iipc.zju.edu.cn

    通讯作者:

    刘山 浙江大学控制科学与工程学系副教授. 2002 年获浙江大学控制科学与工程学系博士学位. 主要研究方向为智能控制, 学习控制, 机器人技术. 本文通信作者. E-mail: sliu@iipc.zju.edu.cn

Basis Function Based Adaptive Iterative Learning Control for Non-minimum Phase Systems

Funds: 

Supported by National Natural Science Foundation of China (61273133)

  • 摘要: 针对重复运行的未知非最小相位系统的轨迹跟踪问题, 结合时域稳定逆特点, 提出了一种新的基函数型自适应迭代学习控制(Basis function based adaptive iterative learning control, BFAILC)算法. 该算法在迭代控制过程中应用自适应迭代学习辨识算法估计基函数模型, 采用伪逆型学习律逼近系统的稳定逆, 保证了迭代学习控制的收敛性和鲁棒性. 以傅里叶基函数为例, 通过在非最小相位系统上的控制仿真, 验证了算法的有效性.
  • [1] Ahn H S, Chen Y, Moore K L. Iterative learning control: brief survey and categorization. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2007, 37(6): 1099-1121
    [2] Xu Jian-Xin, Hou Zhong-Sheng. On learning control: the state of the art and perspective. Acta Automatica Sinica, 2006, 31(6): 943-955(许建新, 侯忠生. 学习控制的现状与展望. 自动化学报, 2006, 31(6): 943-955)
    [3] Moore K L. Iterative Learning Control for Deterministic Systems. London: Springer-Verlag, 1993.
    [4] Devasia S, Chen D G, Paden B. Nonlinear inversion-based output tracking. IEEE Transactions on Automatic Control, 1996, 41(7): 930-942
    [5] Chen D G, Paden B. Stable inversion of nonlinear non-minimum phase systems. International Journal of Control, 1996, 64(1): 81-97
    [6] Sogo T. On the equivalence between stable inversion for nonminimum phase systems and reciprocal transfer functions defined by the two-sided Laplace transform. Automatica, 2010, 46(1): 122-126
    [7] Zou Q Z. Optimal preview-based stable-inversion for output tracking of nonminimum-phase linear systems. Automatica, 2009, 45(1): 230-237
    [8] Kinosita K, Sogo T, Adachi N. Iterative learning control using adjoint systems and stable inversion. Asian Journal of Control, 2002, 4(1): 60-67
    [9] Liu Shan, Wu Tie-Jun. Stable inversion based iterative learning control for non-minimum phase systems. Control Theory & Applications, 2003, 20(6): 831-837(刘山, 吴铁军. 基于稳定逆的非最小相位系统的迭代学习控制. 控制理论与应用, 2003, 20(6): 831-837)
    [10] Ghosh J, Paden B. A pseudoinverse-based iterative learning control. IEEE Transactions on Automatic Control, 2002, 47(5): 831-837
    [11] Liu Shan, Wu Tie-Jun. Robust iterative learning control using wavelet approximation for nonlinear plants. Acta Automatica Sinica, 2004, 30(2): 270-276(刘山, 吴铁军. 基于小波逼近的非线性系统鲁棒迭代学习控制. 自动化学报, 2004, 30(2): 270-276)
    [12] Phan M, Frueh J A. Learning control for trajectory tracking using basis functions. In: Proceedings of the 35th Decision and Control. Kobe, Japan: IEEE, 1996. 2490-2492
    [13] Hamamoto K, Sugie T. An iterative learning control algorithm within prescribed input-output subspace. Automatica, 2001, 37(11): 1803-1809
    [14] Van de Wijdeven J, Bosgra O H. Using basis functions in iterative learning control: analysis and design theory. International Journal of Control, 2010, 83(4): 661-675
    [15] Liu Shan, Liu Jie. Extended Laguerre basis function based iterative learning control for non-minimum phase systems. Control Theory & Applications, 2012, 29(8): 985-992(刘山, 刘杰. 非最小相位系统的扩展Laguerre 基函数迭代学习控制. 控制理论与应用, 2012, 29(8): 985-992)
    [16] Ratcliffe J D, Lewin P L, Rogers E, Hatonen J J, Owens D H. Norm-optimal iterative learning control applied to gantry robots for automation applications. IEEE Transactions on Robotics, 2006, 22(6): 1303-1307
    [17] Chi R H, Sui S L, Hou Z S. A new discrete-time adaptive ILC for nonlinear systems with time-varying parametric uncertainties. Acta Automatica Sinica, 2008, 34(7): 805-808 (池荣虎, 隋树林, 侯忠生. 非线性时变参数不确定系统的自适应迭代学习控制. 自动化学报, 2008, 34(7): 805-808)
    [18] Islam S, Liu P X. Adaptive iterative learning control for robot manipulators without using velocity signals. In: Proceedings of the 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Montreal, Canada: IEEE, 2010. 1293-1298
    [19] Imai A, Kushida D, Takemori F, Kitamura A. Proposal of adaptive type iterative learning control for system with characteristic change. IEEJ Transactions on Electronics, Information, and Systems, 2011, 131(7): 1303-1308
    [20] Zhao H. Stable Inversion Based Output Tracking Control of Robotic Systems [Ph.D. dissertation], Iowa State University, USA, 1997.
    [21] Stromberg K R. Introduction to Classical Real Analysis. Wadsworth International Group, 1981.
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出版历程
  • 收稿日期:  2013-09-16
  • 修回日期:  2014-04-10
  • 刊出日期:  2014-12-20

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