|Table of Contents|

[1] Yang Zhen, Fei Shumin, Wang Fang, et al. An adaptive switching control approachfor trajectory tracking of robotic manipulators [J]. Journal of Southeast University (English Edition), 2016, 32 (2): 183-186. [doi:10.3969/j.issn.1003-7985.2016.02.009]
Copy

An adaptive switching control approachfor trajectory tracking of robotic manipulators()
一种工业机器人轨迹跟踪的自适应切换控制方法
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
32
Issue:
2016 2
Page:
183-186
Research Field:
Automation
Publishing date:
2016-06-20

Info

Title:
An adaptive switching control approachfor trajectory tracking of robotic manipulators
一种工业机器人轨迹跟踪的自适应切换控制方法
Author(s):
Yang Zhen1 2 Fei Shumin1 Wang Fang2 Bao Anping1 Liu Guquan1
1Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education, Southeast University, Nanjing 210096, China
2School of Information Science and Engineering, Zaozhuang University, Zaozhuang 277100, China
杨振1 2 费树岷1 王芳2 鲍安平1 刘顾全1
1东南大学复杂工程系统测量与控制教育部重点实验室, 南京 210096; 2枣庄学院信息科学与工程学院, 枣庄 277100
Keywords:
adaptive control switch control robotic manipulator trajectory tracking
自适应控制 切换控制 工业机器人 轨迹跟踪
PACS:
TP241
DOI:
10.3969/j.issn.1003-7985.2016.02.009
Abstract:
In order to design a suitable controller which can achieve accurate trajectory tracking and a good control performance, and guarantee the stability and robustness of a robot system due to external disturbances error and internal parameter variations, an adaptive switching control strategy is proposed. The proposed scheme is designed under the condition of bounded distances and consists of an adaptive switching law and a PD controller. Based on the Lyapunov stability theory, it is proved that the proposed scheme can guarantee the tracking performance of the robotic manipulator and is adapted to varying unknown loads. Simulations are carried out on a two-link robotic manipulator, which illustrate the feasibility and validity of the proposed control scheme and the robustness for variational payloads.
针对机器人系统易受外部干扰及内部参数变化影响的问题, 以设计具有良好跟踪性能及优良控制品质、保证系统稳定性和鲁棒性的控制器为目标, 提出了一种自适应切换控制方法.该控制方法在系统干扰有界的条件下获得, 包括PD控制器和自适应切换2部分.应用李雅谱诺夫稳定性理论证明了所提控制方法既能够保证机器人的跟踪性能, 也可以适应变化的未知负载.以二连杆机器人为被控对象的仿真研究表明, 所提出的控制方法有效可行, 对系统负载的变化具有一定的鲁棒性.

References:

[1] Van Cuong P, Wang Y N. Adaptive trajectory tracking neural network control with robust compensator for robot manipulators [J]. Neural Computing and Applications, 2016, 27(2): 525-536. DOI:10.1007/s00521-015-1873-4.
[2] Hernandez-Guzman V M, Santibanez V, Campa R. PID control of robot manipulators equipped with brushless DC motors [J]. Robotica, 2009, 27(2): 225-233. DOI:10.1017/s026357470800461x.
[3] Huh S H, Bien Z. Robust sliding mode-control of a robot manipulator based on variable structure-mode reference adaptive control approach [J]. IET Control Theory and Applications, 2007, 1(5): 1355-1363. DOI:10.1049/iet-cta:20060440.
[4] Craig J J, Hsu P, Sastry S. S. Adaptive control of mechanical manipulators [J]. International Journal of Robotic Research, 1987, 6(2): 16-28.
[5] Yu L, Fei S M, Sun L N, et al. An adaptive neural network switching control approach of robotic manipulators for trajectory tracking [J]. International Journal of Computer Mathematics, 2014, 91(5): 983-995. DOI:10.1080/00207160.2013.813021.
[6] Wang X, Niu R S, Chen C, et al. H switched adaptive control for a class of robot manipulators [J]. Transactions of the Institute of Measurement and Control, 2014, 36(3): 347-353. DOI:10.1177/0142331213503362.
[7] Yu L, Fei S M. Robustly stable switching neural control of robotic manipulators using average dwell-time approach [J]. Transactions of the Institute of Measurement and Control, 2014, 36(6): 789-796. DOI:10.1177/0142331213507593.
[8] Branicky M S. Multiple Lyapunov functions and other analysis tools for switched and hybrid systems [J]. IEEE Transactions on Automatic Control, 1998, 43(4): 475-482. DOI:10.1109/9.664150.
[9] Niu R S, Wang X, Zhao J, et al. Switched adaptive control for a class of robot manipulators [C]//Proceedings of the 31st Chinese Control Conference. Hefei, China, 2012: 4974-4978.
[10] Jiao X H, Li Y F, Fang Y M, et al. A method on robust adaptive control strategy of robot [J]. Technology and Application of Robot, 2002, 5(3): 40-43.(in Chinese)

Memo

Memo:
Biographies: Yang Zhen(1975—), male, graduate; Fei Shumin(corresponding author), male, doctor, professor, 101005171@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.61273119, 61374038, 61473079).
Citation: Yang Zhen, Fei Shumin, Wang Fang, et al. An adaptive switching control approach for trajectory tracking of robotic manipulators[J].Journal of Southeast University(English Edition), 2016, 32(2):183-186.doi:10.3969/j.issn.1003-7985.2016.02.009.
Last Update: 2016-06-20