A Receding-Horizon H∞Model-Free Control for Application to Robot Manipulators

被引:0
作者
Baek S. [1 ]
Lee H. [2 ]
Kwon W. [3 ]
Han S. [4 ]
机构
[1] Naverlabs 1784, 95 Jeongjail-ro, Bundang-gu Seongnam-si, Gyeonggi-do
[2] Pohang University of Science and Technology, Department of Electrical Engineering, Pohang
[3] Electronics and Telecommunications Research Institute, Smart Mobility Research Section, Daegu
[4] Pohang University of Science and Technology, Department of Electrical Engineering, Convergence It Engineering, Pohang
基金
新加坡国家研究基金会;
关键词
H[!sub]∞[!/sub]control; robot manipulators; terminal sliding mode (TSM); time-delay estimation (TDE);
D O I
10.1109/TII.2023.3257292
中图分类号
学科分类号
摘要
Although robot manipulators are widely used in advanced industrial applications, their dynamics has very high complexity and uncertainties, making exact mathematical modeling difficult and preventing high-precision tracking control. Herein, we propose a practical high-performance model-free controller for robot manipulators that attenuates the undesirable side effects of a time-delayed state-based estimation (TDE) technique in terms of the receding-horizon H∞ performance. By constructing tracking error dynamics with a sliding variable, the effects of TDE errors are identified and suppressed each time in terms of the fixed-horizon H∞ performance. All initial states are shown to converge to a certain bounded set within a precomputed finite time. The proposed approach is beneficial for sudden transient responses and the temporarily unbounded TDE errors that cannot be handled by existing TDE-based controllers. Finally, the stability of the proposed controller is proven based on the comparison Lemma, and simulations and experiments show that its tracking performance and robustness are superior to those of conventional control algorithms. © 2005-2012 IEEE.
引用
收藏
页码:96 / 105
页数:9
相关论文
共 34 条
[1]  
Wang Y., Liu L., Wang D., Ju F., Chen B., Time-delay control using a novel nonlinear adaptive law for accurate trajectory tracking of cabledriven robots, IEEE Trans. Ind. Inform., 16, 8, pp. 5234-5243, (2020)
[2]  
Ngo V.-T., Liu Y.-C., Object transportation with force-sensorless control and event-triggered synchronization for networked uncertain manipulators, IEEE Trans. Ind. Electron., 68, 1, pp. 902-912, (2021)
[3]  
Shin W.-H., Kwon D.-S., Surgical robot system for single-port surgery with novel joint mechanism, IEEE Trans. Biomed. Eng., 60, 4, pp. 937-944, (2013)
[4]  
Das A.N., Murthy R., Popa D.O., Stephanou H.E., A multiscale assembly and packaging system for manufacturing of complex micronano devices, IEEE Trans. Automat. Sci. Eng., 9, 1, pp. 160-170, (2012)
[5]  
Baek S., Baek J., Kwon W., Han S., An adaptive model uncertainty estimator using delayed state-based model-free control and its application to robot manipulators, IEEE/ASME Trans. Mechatron., 27, 6, pp. 4573-4584, (2022)
[6]  
Lee J., Chang P.H., Jin M., An adaptive gain dynamics for time delay control improves accuracy and robustness to significant payload changes for robots, IEEE Trans. Ind. Electron., 67, 4, pp. 3076-3085, (2020)
[7]  
Han S.I., Lee J.M., Fuzzy echo state neural networks and funnel dynamic surface control for prescribed performance of a nonlinear dynamic system, IEEE Trans. Ind. Electron., 61, 2, pp. 1099-1112, (2014)
[8]  
Jin L., Li S., Luo X., Li Y., Qin B., Neural dynamics for cooperative control of redundant robot manipulators, IEEE Trans. Ind. Inform., 14, 9, pp. 3812-3821, (2018)
[9]  
Hsia T., Lasky T., Guo Z., Robust independent joint controller design for industrial robot manipulators, IEEE Trans. Ind. Electron., 38, 1, pp. 21-25, (1991)
[10]  
Jin M., Lee J., Tsagarakis N.G., Model-free robust adaptive control of humanoid robots with flexible joints, IEEE Trans. Ind. Electron., 64, 2, pp. 1706-1715, (2017)