Author:
Huang Darong,Yang Chenguang,Ju Zhaojie,Dai Shi-Lu
Abstract
AbstractDisturbance observer (DOB) based controller performs well in estimating and compensating for perturbation when the external or internal unknown disturbance is slowly time varying. However, to some extent, robot manipulators usually work in complex environment with high-frequency disturbance. Thereby, to enhance tracking performance in a teleoperation system, only traditional DOB technique is insufficient. In this paper, for the purpose of constructing a feasible teleoperation scheme, we develop a novel controller that contains a variable gain scheme to deal with fast-time varying perturbation, whose gain is adjusted linearly according to human surface electromyographic signals collected from Myo wearable armband. In addition, for tracking the motion of operator’s arm, we derive five-joint-angle data of a moving human arm through two groups of quaternions generated from the armbands. Besides, the radial basis function neural networks and the disturbance observer-based control (DOBC) approaches are fused together into the proposed controller to compensate the unknown dynamics uncertainties of the slave robot as well as environmental perturbation. Experiments and simulations are conducted to demonstrated the effectiveness of the proposed strategy.
Funder
Engineering and Physical Sciences Research Council
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. Ajoudani, A., Gabiccini, M., Tsagarakis, N., Albu-Schäffer, A., & Bicchi, A. (2012). Teleimpedance: Exploring the role of common-mode and configuration-dependant stiffness. In 2012 12th IEEE-RAS international conference on humanoid robots (Humanoids 2012) (pp. 363–369). IEEE.
2. Chen, M., & Chen, W. H. (2010). Sliding mode control for a class of uncertain nonlinear system based on disturbance observer. International Journal of Adaptive Control and Signal Processing, 24(1), 51–64.
3. Chen, M., Chen, W., & Wu, Q. (2014). Adaptive fuzzy tracking control for a class of uncertain mimo nonlinear systems using disturbance observer. Science China Information Sciences, 57(1), 1–13.
4. Chen, W. H., Ballance, D. J., Gawthrop, P. J., & O’Reilly, J. (2000). A nonlinear disturbance observer for robotic manipulators. IEEE Transactions on Industrial Electronics, 47(4), 932–938.
5. Chow, H. W., & Cheung, N. C. (2013). Disturbance and response time improvement of submicrometer precision linear motion system by using modified disturbance compensator and internal model reference control. IEEE Transactions on Industrial Electronics, 60(1), 139–150.
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