论文:2021,Vol:39,Issue(2):400-406
引用本文:
刘芬, 张克军. 基于分数阶线性系统初态学习的PDα-型迭代学习控制[J]. 西北工业大学学报
LIU Fen, ZHANG Kejun. PDα-type iterative learning control with initial state learning for fractional-order systems[J]. Northwestern polytechnical university

基于分数阶线性系统初态学习的PDα-型迭代学习控制
刘芬1,2, 张克军3
1. 西北工业大学 航海学院, 陕西 西安 710072;
2. 延安大学 数学与计算机科学学院, 陕西 延安 716000;
3. 徐州工程学院 数理学院, 江苏 徐州 221111
摘要:
为了消除任意初始状态对系统的影响,针对一类具有任意初始状态的分数阶线性连续系统,提出了一种具有初始状态学习的开环和开闭环PDα-型分数阶迭代学习控制算法。在Lebesgue-p范数的意义下,利用卷积积分的广义Young不等式在迭代域中给出具有抗干扰的PDα-型算法收敛的充分条件。实验结果表明,该算法能够保证跟踪误差的收敛性。数值仿真验证了所提算法的有效性和正确性。
关键词:    分数阶    初始状态学习    迭代学习控制    Lebesgue-p范数   
PDα-type iterative learning control with initial state learning for fractional-order systems
LIU Fen1,2, ZHANG Kejun3
1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China;
2. College of Mathematics and Computer Science, Yan'an University, Yan'an 716000, China;
3. School of Mathematics and Physical Sciences, Xuzhou Institute of Technology, Xuzhou 221111, China
Abstract:
In order to eliminate the influence of the arbitrary initial state on the systems, open-loop and open-close-loop PDα-type fractional-order iterative learning control (FOILC) algorithms with initial state learning are proposed for a class of fractional-order linear continuous-time systems with an arbitrary initial state. In the sense of Lebesgue-p norm, the sufficient conditions for the convergence of PDα-type algorithms are disturbed in the iteration domain by taking advantage of the generalized Young inequality of convolution integral. The results demonstrate that under these novel algorithms, the convergences of the tracking error are can be guaranteed. Numerical simulations support the effectiveness and correctness of the proposed algorithms.
Key words:    fractional-order    initial state learning    iterative learning control    Lebesgue-p norm   
收稿日期: 2020-04-28     修回日期:
DOI: 10.1051/jnwpu/20213920400
基金项目: 陕西省自然科学基金(2020JM-554)与延安大学科研项目(YDY2019-18)资助
通讯作者:     Email:
作者简介: 刘芬(1982-),女,西北工业大学博士研究生,主要从事智能控制、迭代学习控制研究。
相关功能
PDF(1267KB) Free
打印本文
把本文推荐给朋友
作者相关文章
刘芬  在本刊中的所有文章
张克军  在本刊中的所有文章

参考文献:
[1] ARIMOTO S, KAWAMURA S, MIYAZAKI F. Bettering operation of robotics by learning[J]. Journal of Robotic System, 1984, 12(2):123-140
[2] WANG W, CHEN J, MAO L. Two-wheeled mobile robot tracking based on iterative learning control[J]. Advanced Materials Research, 2012, 433:5866-5870
[3] LIU T. Flexible closed-loop iterative learning control for industrial batch processes with state delay and time-varying uncertainties[J]. IFAC Proceedings Volumes, 2012, 45(13):225-230
[4] YAN F, TIAN F L, SHI Z K. Iterative learning approach for traffic signal control of urban road networks[J]. IET Control Theory and Applications, 2017, 11(4):466-475
[5] CHEN Y Q, MOORE K L. On Dα-type iterative learning control[C]//Proceedings of the 40th IEEE Conference on Decision and Control, 2001
[6] LAZAREVIC M P. PDα-type iterative learning control for fractional LTI system[C]//Proceedings of the 16th International Congress of Chemical and Process Engineering, 2004
[7] LAZAREVIC M P, MANDIC P. Feedback-feedforward iterative learning control for fractional order uncertain time delay system-PD alpha type[C]//Proceedings of the International Conference on Fractional Differentiation and Its Applications, 2014
[8] LI Y, CHEN Y Q, AHN H S. Convergence analysis of fractional-order iterative learning control[J]. Control Theory and Applications, 2012, 29(8):1031-1037
[9] LI Y, CHEN Y Q, AHN H S. Fractional-order iterative learning control for fractional-order linear systems[J]. Asian Journal of Control, 2011, 13(1):54-63
[10] LAN Y H, ZHOU Y. Dα-type iterative learning control for fractional-order linear time-delay systems[J]. Asian Journal of Control, 2013, 15(3):669-677
[11] LIU X H, Li Y F. The convergence analysis of p-type iterative learning control with initial state error for some fractional system[J]. Journal of Inequalities and Applications, 2017, 2017(1):29
[12] LAN Y H. Iterative learning control with initial state learning for fractional order nonlinear systems[J]. Computers Mathematics with Applications, 2012, 64(10):3210-3216
[13] LI Y, JIANG W. Factional-order nonlinear systems with delay in iterative learning control[J]. Applied Mathematics and Computation, 2015, 257(suppl):546-552
[14] LI L. Rectified fractional order iterative learning control for linear system with initial state shift[J]. Advances in Difference Equations, 2018, 2018(1):12
[15] LI L. Lebesgue-p norm convergence of fractional-order PID-type iterative learning control for linear systems[J]. Asian Journal of Control. 2018, 20(1):483-497
[16] 张克军,彭国华.具有反馈信息的PDα-型迭代学习控制率在Lebesgue-p范数意义下的收敛分析[J]. 西北工业大学学报, 2017, 35(2):310-315 ZHANG Kejun, PENG Guohua. Convergence analysis of PDα-type iterative learning control with feedback information in the sense of lebesgue-p norm[J]. Journal of Northwestern Polytechnical University, 2017, 35(2):310-315(in Chinese)
[17] 张克军,彭国华. PDα-型分数阶迭代学习控制在Lp范数意义下的收敛性分析[J]. 系统工程与电子技术, 2017, 39(10):2285-2290 ZHANG Kejun, PENG Guohua. Convergence analysis of PDα-type fractional-order iterative learning control in the sense of Lp norm[J]. Systems Engineering and Electronics, 2017, 39(10):2285-2290(in Chinese)
[18] RUAN X, BIEN Z Z, WANG Q. Convergence properties of iterative learning control processes in the sense of the lebesgue-p norm[J]. Asian Journal of Control, 2012, 14(4):1095-1107
[19] PODLUBNY I. Fractional differential equations[M]. San Diego:Academic Press, 1999
[20] SAMKO S G, KILBAS A A, MARICEV O I. Fractional integral and derivatives:theory and applications[M]. Switzerland:Gordon and Breach, 1993
[21] KILBAS A A, SRIVASTAVA H, TRUJILLO J J. Theory and applications of fractional differential equations[M]. New York:Elsevier, 2006
[22] 卜旭辉, 侯忠生, 余发山. 一类线性连续切换系统的迭代学习控制[J]. 控制理论与应用, 2012, 29(8):1051-1056 BU Xuhui, HOU Zhongsheng, YU Fasha. Iterative learning control for a class of linear continuous-time switched systems[J]. Control Theory and Applications, 2012, 29(8):1051-1056(in Chinese)
相关文献:
1.张克军, 彭国华.具有反馈信息的PDα-型迭代学习控制律在Lebesgue-p范数意义下的收敛性分析[J]. 西北工业大学学报, 2017,35(2): 310-315