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Time delay estimation-based reactionless augmented adaptive sliding mode control of a space manipulator’s pregrasping a target

Published online by Cambridge University Press:  11 March 2022

Xiaoyan Yu Open the ORCID record for Xiaoyan Yu [Opens in a new window] ,
Jianqiao Guo  and
Jianyu Zhang
Xiaoyan Yu*
Affiliation:
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou350116, China Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control, (Fuzhou University), Fujian Province University, Fuzhou350116, China
Jianqiao Guo*
Affiliation:
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou350116, China
Jianyu Zhang
Affiliation:
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou350116, China
*
*Corresponding author. E-mail: [email protected]
*Corresponding author. E-mail: [email protected]
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Abstract

Reaction null space (RNS) planning and control of a planar three-link space manipulator’s pregrasping a spinning target are studied. First, the Lagrange dynamic model of the manipulator was established. Second, the RNS motion planning algorithm was derived, and the vector norm constraint algorithm of RNS planning was addressed to ensure certain joint angular acceleration constraints were satisfied. Furthermore, an augmented adaptive sliding mode controller based on time delay estimation (TDE) was proposed. This controller estimated the unknowns of the system by TDE technology, in which accurate and complete dynamics were not required, and an adaptive TDE was introduced to decrease the estimation errors and avoid serious chattering. Finally, numerical simulations were carried out to verify the effectiveness of the proposed RNS planning and control algorithm.

Keywords

reaction null spacefree-floating manipulatormotion planningtime delay estimationaugmented adaptive sliding mode control
Type
Reply
Information
Robotica , Volume 40 , Issue 9 , September 2022 , pp. 3136 - 3156
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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References

Ding, X. L., Wang, Y. C., Wang, Y. B. and Xu, K., “A review of structures, verification, and calibration technologies of space robotic systems for on-orbit servicing,” Sci. China (Technol. Sci.) 64(03), 462–480 (2021).Google Scholar
Papadopoulos, E., Aghili, F., Ma, O. and Lampariello, R., “Robotic manipulation and capture in space: A survey,” Front. Rob. AI 8 (2021).CrossRefGoogle Scholar
Zong, L. J. and Emami, M. R., “Control verifications of space manipulators using ground platforms,” IEEE Trans. Aerospace Electron. Syst. 1(57), 341–354 (2021).CrossRefGoogle Scholar
Seddaoui, A. and Saaj, C. M., “Combined nonlinear H∞ controller for a controlled-floating space robot,” J. Guid. Control. Dyn. 42(8), 1878–1885 (2019).Google Scholar
Jayakody, H. S., Shi, L., Katupitiya, J. and Kinkaid, N., “Robust adaptive coordination controller for a spacecraft equipped with a robotic manipulator,” J. Guid. Control. Dyn. 39(12), 2699–2711 (2016).CrossRefGoogle Scholar
Cheng, J. and Chen, L., “Coordinated robust control based on extended state observer of dual-arm space robot with closed chain for transferring a target,” Proc. Inst. Mech. Eng. Part G J. Aerosp. Eng. 232(13), 2489–2498 (2018).Google Scholar
Rybus, T., “Point-to-point motion planning of a free-floating space manipulator using the rapidly-exploring random trees (RRT) method,” Robotica. 38(6), 957–982 (2020).CrossRefGoogle Scholar
Dubowsky, S. and Papadopoulos, E., “The kinematics, dynamics, and control of free-flying and free-floating space robotic systems,” IEEE Trans. Robot. Autom. 9(5), 531–543 (1993).CrossRefGoogle Scholar
Dubowsky, S. and Torres, M. A., “Path Planning for Space Manipulators to Minimize Spacecraft Attitude Disturbances,” Proceedings. 1991 IEEE International Conference on Robotics and Automation, Sacramento, CA, USA (1991) pp. 2522–2538.Google Scholar
Nenchev, D., Umetani, Y. and Yoshida, K., “Analysis of a redundant free-flying spacecraft/manipulator system,” IEEE Trans. Robot. Autom. 8(1), 1–63 (2002).Google Scholar
Yoshida, K., Hashizume, K. and Abiko, S., “Zero Reaction Maneuver: Flight Validation with ETS-VII Space Robot and Extension to Kinematically Redundant Arm,” Proceedings of the IEEE International Conference on Robotics and Automation, Seoul, Korea (2001) pp. 441–446.Google Scholar
Yoshida, K., “Engineering Test Satellite VII flight experiments for spacerobot dynamics and control: Theories on laboratory test beds ten years ago, now in orbit,” Int. J. Rob. Res. 22(5), 321–335 (2003).CrossRefGoogle Scholar
Fukazu, Y., Hara, N. Kanamiya, Y. and Sato, D., “Reactionless Resolved Acceleration Control with Vibration Suppression Capability for JEMRMS/SFA,” Proceedings of the IEEE International Conference on Robotics and Biomimetics, Bangkok, Thailand (2009) pp. 1359–1364.Google Scholar
Nguyen Huynh, T. C. and Sharf, I., “Adaptive reactionless motion and parameter identification in post-capture of space debris,” J. Guidance Control Dyn. 36(2), 404–414 (2013).CrossRefGoogle Scholar
Xu, S. F., Wang, H. L., Zhang, D. Z. and Yang, B. H., “Adaptive Reactionless Motion Control for Free-Floating Space Manipulators with Uncertain Kinematics and Dynamics,” The 3rd IFAC International Conference on Intelligent Control and Automation Science, Chengdu, China (2013).CrossRefGoogle Scholar
Zong, L. J., Emami, M. R. Luo, J. J. and Luo, J. J., “Reactionless control of free-floating space manipulators,” IEEE Trans. Aerospace Electron. Syst. 56(2), 1490–1503 (2020).CrossRefGoogle Scholar
Ding, S., Wang, J. and Zheng, W. X., “Second-order sliding mode control for nonlinear uncertain systems bounded by positive functions,” IEEE Trans. Ind. Electron. 62(9), 5899–5909 (2015).CrossRefGoogle Scholar
Nasiri, A., Kiong Nguang, S. and Swain, A., “Adaptive sliding mode control for a class of MIMO nonlinear systems with uncertainties,” J. Franklin Inst. 351(4), 2048–2061 (2014).CrossRefGoogle Scholar
Alwi, H. and Edwards, C., “Sliding mode fault-tolerant control of an octorotor using linear parameter varying-based schemes,” IET Control Theory Appl. 9(4), 618–636 (2015).CrossRefGoogle Scholar
Tran, X. T. and Kang, H. J., “Adaptive hybrid high-Order terminal sliding mode control of MIMO uncertain nonlinear systems and application to robot manipulators,” Int. J. Precis. Eng. Manuf. 16(2), 255–266 (2015).CrossRefGoogle Scholar
Su, R. and Zong, Q., “Comprehensive design of disturbance observer and non-singular terminal sliding,” IET Control Theory App. 9(12), 1821–1830 (2015).Google Scholar
Al-Ghanimi, A., Man, Z. H. and Zheng, J. C., “Robust and fast non-singular terminal sliding mode control for piezoelectric actuators,” IET Control Theory Appl. 9(18), 2678–2687 (2015).CrossRefGoogle Scholar
Yu, X. Y., “Hybrid-trajectory based terminal sliding mode control of a flexible space manipulator with an elastic base,” Robotica. 38(3), 550–563 (2020).CrossRefGoogle Scholar
Bayat, F., “Model predictive sliding control for finite-time three-axis spacecraft attitude tracking,” IEEE Trans. Ind. Electron. 66(10), 7986–7996 (2019).CrossRefGoogle Scholar
Shao, X., Sun, G., Xue, C. and Li, X., “Nonsingular terminal sliding mode control for free-floating space manipulator with disturbance,” Acta Astronautica. 181, 396–404 (2021).CrossRefGoogle Scholar
Zhu, Y. K., Qiao, J. Z. and Guo, L., “Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators for target capturing,” IEEE Trans. Ind. Electron. 66(3), 1973–1983 (2019).Google Scholar
,Wang, Y. Y., Chen, J. W. Gu, L. Y. and Li, X. D., “Time delay control of hydraulic manipulators with continuous nonsingular terminal sliding mode,” J. Cent. South Univ. 22(12), 4616–4624 (2015).CrossRefGoogle Scholar
Liang, X. L. X., Wan, Y. W. Y. Zhang, C. Z. C., Kong, Y. Y., Xin, Q. Q. and Yi, W., “Robust position control of hydraulic manipulators using time delay estimation and nonsingular fast terminal sliding mode,” Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng. 232(1), 50–61 (2018).Google Scholar
Chang, P. H. and Park, S. H., “On improving time-delay control under certain hard nonlinearities,” Mechatronics. 13(4), 393–412 (2003).CrossRefGoogle Scholar
Wang, Y. Y., Luo, G. SH., Gu, L. Y., and Li, X. D., “Fractional-order nonsingular terminal sliding mode control of hydraulic manipulators using time delay estimation,” JVC/Journal Vib. Control. 22(19), 3998–4011 (2016).CrossRefGoogle Scholar
Lee, J., Yoo, C. Park, Y., Park, B. B., Lee, S. J., Gweon, D. G. and Chang, P. H., “An experimental study on time delay control of actuation system of tilt rotor unmanned aerial vehicle,” Mechatronics. 22(2), 184–194 (2012).CrossRefGoogle Scholar
Brahmi, B., Driscoll, M., Laraki, M. H. and Brahmi, A., “Adaptive high-order sliding mode control based on quasi-time delay estimation for uncertain robot manipulator,” Control Theory Technol. 18(3), 279–292 (2020).CrossRefGoogle Scholar
Wang, Y. Y., Fei, Y., Jiang, S. R. and Chen, B., “Adaptive nonsingular terminal sliding mode control of cable-driven manipulators with time delay estimation,” Int. J. Syst. Sci. 51(8), 1429–1447 (2020).CrossRefGoogle Scholar
Jung, S. and Lee, J. W., “Similarity analysis between a nonmodel-based disturbance observer and a time-delayed controller for robot manipulators in cartesian space,” IEEE Access. 9, 122299–122307 (2021).CrossRefGoogle Scholar
Zhang, J. Y., Yu, X. Y. and Chen, L., “Terminal sliding mode adaptive fuzzy controller of a free-floating space manipulator based on time delay estimation,” Mech. Mach. Sci. 79, 440–449 (2020).CrossRefGoogle Scholar
Liang, J., “Fuzzy Wavelet Neural Network Control of Joint Flexible Double-Arm Space Robot Based on Delay Estimation,” The Chinese Congress of Theoretical and Applied Mechanics (CCTAM 2015), Shanghai, China (2015) pp. 249–249.Google Scholar
Xie, Z. C., Sun, T. and Wu, X. F., “A new reinforcement learning based adaptive sliding mode control scheme for free-floating space robotic manipulator,” IEEE Access. 8, 127048–127064 (2020).CrossRefGoogle Scholar
Zong, L. J., Emami, M. R. and Luo, J. J., “Reactionless control of free-floating space manipulators,” IEEE Trans. Electron, Aerospace. Syst. 56(2), 1490–1503 (2020).Google Scholar
Song, Q., “Reactionless sliding mode fault tolerant control of floating space manipulator,” Fuzhou University (2020).Google Scholar
Yu, X. Y., Guo, J. Q. and Zhang, J. Y., “Reactionless Time Delay Estimation Based Adaptive Fuzzy Sliding Mode Control of a Space Manipulator Approaching a Rotating Target,” International Astronautical Congress 2021. Dubai, the United Arab Emirates (2021).Google Scholar
Cho, S., Baek, J. and Han, S., “Practical time-delay control with adaptive gains for trajectory tracking of robot manipulators,” IEEE Trans. Ind. Electron. 65(7), 5682–5692 (2018).Google Scholar