International Journal of Control, Automation and Systems 2021; 19(12): 3983-3995
Published online September 2, 2021
https://doi.org/10.1007/s12555-020-0920-9
© The International Journal of Control, Automation, and Systems
This paper presents a new method for adaptive continuous nonsingular fast terminal sliding mode control (ACNFTSMC) based on a novel structure-improved extended state observer (SIESO) for fault-tolerant control (FTC). In response to the initial peaking phenomenon in traditional ESO (TESO), which can severely degrade the accuracy and stability of the control system, The SIESO is designed to replace TESO to estimate the lump disturbances/faults. Besides, to address the problem of the unknown estimation error of ESO, an adaptive technique is applied to compensate for the observation error in real-time. To guarantee fast convergence and chattering-free, the CNFTSMC method is employed. Afterward, the stability and rapid convergence of the control system is demonstrated using Lyapunov theory. Finally, the simulation results verify the superiority of the proposed control strategy compared to the other existing advanced control techniques.
Keywords Adaptive control, CNFTSM, fault-tolerant control, robotic manipulators, structure-improved extended state observer (SIESO).
International Journal of Control, Automation and Systems 2021; 19(12): 3983-3995
Published online December 1, 2021 https://doi.org/10.1007/s12555-020-0920-9
Copyright © The International Journal of Control, Automation, and Systems.
Wenjie Zhang, Xiaohui Yang*, Zhenghong Xu, Wei Zhang, Li Yang, and Xiaoping Liu
Nanchang University
This paper presents a new method for adaptive continuous nonsingular fast terminal sliding mode control (ACNFTSMC) based on a novel structure-improved extended state observer (SIESO) for fault-tolerant control (FTC). In response to the initial peaking phenomenon in traditional ESO (TESO), which can severely degrade the accuracy and stability of the control system, The SIESO is designed to replace TESO to estimate the lump disturbances/faults. Besides, to address the problem of the unknown estimation error of ESO, an adaptive technique is applied to compensate for the observation error in real-time. To guarantee fast convergence and chattering-free, the CNFTSMC method is employed. Afterward, the stability and rapid convergence of the control system is demonstrated using Lyapunov theory. Finally, the simulation results verify the superiority of the proposed control strategy compared to the other existing advanced control techniques.
Keywords: Adaptive control, CNFTSM, fault-tolerant control, robotic manipulators, structure-improved extended state observer (SIESO).
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