Active fault-tolerant control scheme of aerial manipulators with actuator faults

Ya-dong Ding , Yao-yao Wang , Su-rong Jiang , Bai Chen

Journal of Central South University ›› 2021, Vol. 28 ›› Issue (3) : 771 -783.

PDF
Journal of Central South University ›› 2021, Vol. 28 ›› Issue (3) : 771 -783. DOI: 10.1007/s11771-021-4644-7
Article

Active fault-tolerant control scheme of aerial manipulators with actuator faults

Author information +
History +
PDF

Abstract

In this paper, an active fault-tolerant control (FTC) strategy of aerial manipulators based on non-singular terminal sliding mode (NTSM) and extended state observer (ESO) is proposed. Firstly, back-stepping technology is adopted as the control framework to ensure the global asymptotic stability of the closed-loop system. Next, the NTSM with estimated parameters of actuator faults is used as main robustness controller to deal with actuator faults. Then, the ESO is utilized to estimate and compensate the complex coupling effects and external disturbances. The Lyapunov stability theory can guarantee the asymptotic stability of aerial manipulators system with actuator faults and external disturbances. The proposed FTC scheme considers both actuator fault and modelling errors, combined with the adaptive law of actuator fault, which has better performance than traditional FTC scheme, such as NTSM. Finally, several comparative simulations are conducted to illustrate the effectiveness of the proposed FTC scheme.

Keywords

aerial manipulators / back-stepping technology / fault-tolerant control / non-singular terminal sliding mode control / extended state observer

Cite this article

Download citation ▾
Ya-dong Ding, Yao-yao Wang, Su-rong Jiang, Bai Chen. Active fault-tolerant control scheme of aerial manipulators with actuator faults. Journal of Central South University, 2021, 28(3): 771-783 DOI:10.1007/s11771-021-4644-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

NguyenH N, ParkS, ParkJ, LeeD. A novel robotic platform for aerial manipulation using quadrotors as rotating thrust generators [J]. IEEE Transactions on Robotics, 2018, 34(2): 353-369

[2]

LeeH, KimH J. Estimation, control, and planning for autonomous aerial transportation [J]. IEEE Transactions on Industrial Electronics, 2017, 64(4): 3369-3379

[3]

FanniM, KhalifaA. A new 6-DOF quadrotor manipulation system: Design, kinematics, dynamics, and control [J]. IEEE/ASME Transactions on Mechatronics, 2017, 22(3): 1315-1326

[4]

DingY-d, WangY-y, ChenBai. A practical time-delay control scheme for aerial manipulators [J]. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2021, 235(3): 371-388

[5]

ZhengF-y, ZhenZ-y, GongH-jun. Observer-based backstepping longitudinal control for carrier-based UAV with actuator faults [J]. Journal of Systems Engineering and Electronics, 2017, 28(2): 322-377

[6]

CaoL, XiaoB, GolestaniM. Robust fixed-time attitude stabilization control of flexible spacecraft with actuator uncertainty [J]. Nonlinear Dynamics, 2020, 100(3): 2505-2519

[7]

XiaoB, CaoL, XuS-y, LiuLiang. Robust tracking control of robot manipulators with actuator faults and joint velocity measurement uncertainty [J]. IEEE/ASME Transactions on Mechatronics, 2020, 25(3): 1354-1365

[8]

HessR A, WellsS R. Sliding mode control applied to reconfigurable flight control design [J]. Journal of Guidance, Control, and Dynamics, 2003, 26(3): 452-462

[9]

VeilletteR J. Reliable linear-quadratic state-feedback control [J]. Automatica, 1995, 31(1): 137-143

[10]

KimD, KimY. Robust variable structure controller design for fault tolerant flight control [J]. Journal of Guidance, Control, and Dynamics, 2000, 23(3): 430-437

[11]

BajpaiG, ChangB C, LauA. Reconfiguration of flight control systems for actuator failures [J]. IEEE Aerospace and Electronic Systems Magazine, 2001, 16(9): 29-33

[12]

YEN G G, HO L W. On-line multiple-model based fault diagnosis and accommodation [C]//Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC’ 01) (Cat No 01CH37206). 2001: 73–78. DOI: https://doi.org/10.1109/ISIC.2001.971487.

[13]

KimK S, LeeK J, KimY. Reconfigurable flight control system design using direct adaptive method [J]. Journal of Guidance, Control, and Dynamics, 2003, 26(4): 543-550

[14]

GaoZ-q, AntsaklisP J. Stability of the pseudo-inverse method for reconfigurable control systems [J]. International Journal of Control, 1991, 53(3): 717-729

[15]

NapolitanoM R, AnY, SeanorB A. A fault tolerant flight control system for sensor and actuator failures using neural networks [J]. Aircraft Design, 2000, 3(2): 103-128

[16]

ShtesselY, BuffingtonJ, BandaS. Multiple timescale flight control using reconfigurable sliding modes [J]. Journal of Guidance, Control, and Dynamics, 1999, 22(6): 873-883

[17]

BesnardL, ShtesselY B, LandrumB. Quadrotor vehicle control via sliding mode controller driven by sliding mode disturbance observer [J]. Journal of the Franklin Institute, 2012, 349(2): 658-684

[18]

StoustrupJ, GrimbleM J, NiemannH. Design of integrated systems for the control and detection of actuator/sensor faults [J]. Sensor Review, 1997, 17(2): 138-149

[19]

AmoozgarM H, ChamseddineA, ZhangY-min. Experimental test of a two-stage Kalman filter for actuator fault detection and diagnosis of an unmanned quadrotor helicopter [J]. Journal of Intelligent & Robotic Systems, 2013, 70(1–4): 107-117

[20]

LiJ-p, YangY-n, HuaC-c, GuanX-ping. Fixed-time backstepping control design for high-order strict-feedback non-linear systems via terminal sliding mode [J]. IET Control Theory & Applications, 2017, 11(8): 1184-1193

[21]

SuQ-y, QuanW-z, CaiG-w, LiJian. Improved adaptive backstepping sliding mode control for generator steam valves of non-linear power systems [J]. IET Control Theory & Applications, 2017, 11(9): 1414-1419

[22]

YuS-h, YuX-h, ShirinzadehB, ManZ-hong. Continuous finite-time control for robotic manipulators with terminal sliding mode [J]. Automatica, 2005, 41(11): 1957-1964

[23]

WangY-y, LiuL-f, WangD, JuF, ChenBai. Time-delay control using a novel nonlinear adaptive law for accurate trajectory tracking of cable-driven robots [J]. IEEE Transactions on Industrial Informatics, 2020, 16(8): 5234-5243

[24]

WangY-y, YanF, ChenJ-w, JuF, ChenBai. A new adaptive time-delay control scheme for cable-driven manipulators [J]. IEEE Transactions on Industrial Informatics, 2019, 15(6): 3469-3481

[25]

WangY-y, LiS-z, WangD, JuF, ChenB, WuH-tao. Adaptive time-delay control for cable-driven manipulators with enhanced nonsingular fast terminal sliding mode [J]. IEEE Transactions on Industrial Electronics, 2021, 68(3): 2356-2367

[26]

WangY-y, GuL-y, XuY-h, CaoX-xu. Practical tracking control of robot manipulators with continuous fractional-order nonsingular terminal sliding mode [J]. IEEE Transactions on Industrial Electronics, 2016, 63(10): 6194-6204

[27]

YinL-j, XiaY-q, DengZ-h, HuoB-yu. Extended state observer-based attitude fault-tolerant control of rigid spacecraft [J]. International Journal of Systems Science, 2018, 49(12): 2525-2535

[28]

PukdeboonC. Extended state observer-based third-order sliding mode finite-time attitude tracking controller for rigid spacecraft [J]. Science China Information Sciences, 2018, 62(1): 1-16

[29]

DingL, LiX-c, LiQ-l, ChaoYuan. Nonlinear friction and dynamical identification for a robot manipulator with improved cuckoo search algorithm [J]. Journal of Robotics, 2018, 2018: 1-10

[30]

The Math Works [M]Natwik, 1995, Massachusetts, Matlab User’s Guide

AI Summary AI Mindmap
PDF

114

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/