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An Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Robust Fault Tolerant Control of Robot Manipulators
Open accessAbstract
This paper develops a novel control methodology for tracking control of robot manipulators based on a novel adaptive backstepping nonsingular fast terminal sliding mode control (ABNFTSMC). In this approach, a novel backstepping nonsingular fast terminal sliding mode controller (BNFTSMC) is developed based on an integration of integral nonsingular fast terminal sliding mode surface and a backstepping control strategy. The benefits of this approach are that the proposed controller can preserve the merits of the integral nonsingular fast terminal sliding mode control (NFTSMC) in terms of high robustness, fast transient response, and finite-time convergence, as well as backstepping control strategy in terms of globally asymptotic stability based on Lyapunov criterion. However, the major limitation of the proposed BNFTSMC is that its design procedure is dependent on the prior knowledge of the bound value of the disturbance and uncertainties. In order to overcome this limitation, an adaptive technique is employed to approximate the upper bound value; yielding an ABNFTSMC is recommended. The proposed controller is then applied for tracking control of a PUMA560 robot and compared with other state-of-the-art controllers, such as computed torque controller, PID controller, conventional PID-based sliding mode controller, and NFTSMC. The comparison results demonstrate the superior performance of the proposed approach.
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Citations
Cites
Sliding Modes in Control and Optimization
Utkin, V. I. (1992) · Springer eBooks · doi:10.1007/978-3-642-84379-2 · Cited by 6,684
Robust exact differentiation via sliding mode technique
Levant, A. (1998) · Automatica · doi:10.1016/s0005-1098(97)00209-4 · Cited by 2,292
The explicit dynamic model and inertial parameters of the PUMA 560 arm
Armstrong, B., Khatib, O., & Burdick, J. (1986) · Proceedings. 1986 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1986.1087644 · Cited by 613
Cui, R., Chen, L., Yang, C., & Chen, M. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2694410 · Cited by 566
Tong, S., Huo, B., & Li, Y. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2241770 · Cited by 560
Tong, S., Zhang, L., & Li, Y. (2016) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2015.2426131 · Cited by 539
Adaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems
Tong, S., Li, Y., & Sui, S. (2016) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2016.2540058 · Cited by 489
Van, M., Ge, S. S., & Ren, H. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2555307 · Cited by 486
Self-citationXiao, B., Hu, Q., & Zhang, Y. (2012) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2011.2169796 · Cited by 451
Wang, Y., Gu, L., Xu, Y., & Cao, X. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2569454 · Cited by 356
Robust Sliding Mode Control for Robot Manipulators
Islam, S., & Liu, X. P. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2062472 · Cited by 355
Disturbance Observer-Based Integral Sliding-Mode Control for Systems With Mismatched Disturbances
Zhang, J., Liu, X., Xia, Y., Zuo, Z., & Wang, Y. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2583999 · Cited by 341
Tong, S., Wang, T., & Li, Y. (2013) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2264939 · Cited by 335
Dynamic sliding PID control for tracking of robot manipulators: theory and experiments
Parra‐Vega, V., Arimoto, S., Liu, Y., Hirzinger, G., & Akella, P. N. (2003) · IEEE Transactions on Robotics and Automation · doi:10.1109/tra.2003.819600 · Cited by 327
Adaptive Integral Sliding Mode Control With Time-Delay Estimation for Robot Manipulators
Lee, J., Chang, P. H., & Jin, M. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2698416 · Cited by 318
Dynamic Learning From Adaptive Neural Control of Robot Manipulators With Prescribed Performance
Wang, M., & Yang, A. (2017) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2016.2645942 · Cited by 268
Study of Nonsingular Fast Terminal Sliding-Mode Fault-Tolerant Control
Xu, S. S.-D., Chen, C.-C., & Wu, Z.-L. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2399397 · Cited by 243
Nonsingular Terminal Sliding Mode Control of Robot Manipulators Using Fuzzy Wavelet Networks
Lin, C.-K. (2006) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2006.879982 · Cited by 239
Passive Actuators' Fault-Tolerant Control for Affine Nonlinear Systems
Benosman, M., & Lum, K.-Y. (2010) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2008.2009641 · Cited by 235
Shen, Q., Jiang, B., & Cocquempot, V. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2254493 · Cited by 233
Robust Motion Control of a Linear Motor Positioner Using Fast Nonsingular Terminal Sliding Mode
Zheng, J., Wang, H., Man, Z., Jin, J., & Fu, M. (2014) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2014.2352647 · Cited by 233
Jin, M., Lee, J., & Ahn, K. K. (2015) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2014.2323897 · Cited by 220
Cui, R., Chen, L., Yang, C., & Chen, M. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2868034 · Cited by 205
MPC for Robot Manipulators With Integral Sliding Modes Generation
Incremona, G. P., Ferrara, A., & Magni, L. (2017) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2674701 · Cited by 204
Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton
Yu, W., & Rosén, J. (2012) · IEEE Transactions on Cybernetics · doi:10.1109/tsmcb.2012.2214381 · Cited by 186
Novel Neural Networks-Based Fault Tolerant Control Scheme With Fault Alarm
Shen, Q., Jiang, B., Shi, P. J., & Lim, C. (2014) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2303131 · Cited by 169
Robust Control of Robot Manipulators Using Inclusive and Enhanced Time Delay Control
Jin, M., Kang, S. H., Chang, P. H., & Lee, J. (2017) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2718108 · Cited by 168
Passive actuators’ fault tolerant control for affine nonlinear systems
Benosman, M., & Lum, K.-Y. (2008) · IFAC Proceedings Volumes · doi:10.3182/20080706-5-kr-1001.02412 · Cited by 167
Xu, Q. (2017) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2017.2701417 · Cited by 167
Wang, R., & Wang, J. (2012) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2012.2232687 · Cited by 147
Global Asymptotic Saturated PID Control for Robot Manipulators
Su, Y., Müller, P. C., & Zheng, C. (2009) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2009.2035924 · Cited by 145
Li, L., Ding, S. X., Qiu, J., & Yang, Y. Z. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2513438 · Cited by 121
Neural network learning control of robot manipulators using gradually increasing task difficulty
Sanger, T. D. (1994) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.294207 · Cited by 111
A Study of T–S Model-Based SMC Scheme With Application to Robot Control
Liang, Y., Xu, S.-D., Liaw, D., et al. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2005138 · Cited by 84
Meng, Q., Zhang, T., Gao, X., & Song, J. (2013) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2013.2262527 · Cited by 82
Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System
He, X. H., Wang, Z., Qin, L., & Zhou, D. (2016) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2016.2524595 · Cited by 81
Modular-Controller-Design-Based Fast Terminal Sliding Mode for Articulated Exoskeleton Systems
Madani, T., Daâchi, B., & Djouani, K. (2016) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2016.2579603 · Cited by 77
Chen, G., Song, Y., & Guan, Y. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2016.2636323 · Cited by 77
Robust Adaptive Fault-Tolerant Control for a Class of Uncertain Nonlinear Time Delay Systems
Li, Y., & Yang, G. (2016) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2634080 · Cited by 73
Robustness and Reliability of Synergy-Based Myocontrol of a Multiple Degree of Freedom Robotic Arm
Lunardini, F., Casellato, C., d’Avella, A., Sanger, T. D., & Pedrocchi, A. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2015.2483375 · Cited by 64
A robust fault diagnosis and accommodation scheme for robot manipulators
Van, M., Kang, H., Suh, Y.-S., & Shin, K. (2013) · International Journal of Control Automation and Systems · doi:10.1007/s12555-012-0022-4 · Cited by 59
Self-citationFault Diagnosis in Image-Based Visual Servoing With Eye-in-Hand Configurations Using Kalman Filter
Van, M., Wu, D., Ge, S. S., & Ren, H. (2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2590338 · Cited by 58
Self-citationYu, H., Shen, J., Joos, K. M., & Simaan, N. (2016) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2016.2583259 · Cited by 44
A novel neural second-order sliding mode observer for robust fault diagnosis in robot manipulators
Van, M., Kang, H., & Suh, Y.-S. (2013) · International Journal of Precision Engineering and Manufacturing · doi:10.1007/s12541-013-0055-5 · Cited by 36
Self-citation
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Phan, V. D., Vo, C. P., Dao, H. V., & Ahn, K. K. (2021) · IEEE Access · doi:10.1109/access.2021.3059947 · Cited by 58
Phan, V. D., Vo, C. P., Dao, H. V., & Ahn, K. K. (2021) · IEEE Access · doi:10.1109/access.2021.3101038 · Cited by 44
Qi, G., Deng, J., Li, X., & Yu, X. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105633 · Cited by 39
Xia, Y., Liu, Y., & Sun, W. (2025) · Nonlinear Dynamics · doi:10.1007/s11071-024-10751-3 · Cited by 13
Dong, Z.-Y., Xinyi, Y., Wei, Y., Zhou, L., & Ou, L. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3481544 · Cited by 6
Metadata
- Authors
- Van, M., Mavrovouniotis, M., & Ge, S. S.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2019-07
- Volume
- 49
- Issue
- 7
- Pages
- 1448-1458
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W2789897185
- Cited by
- 478
- References
- 44
- FWCI
- 24.67
- Type
- journal article
- Language
- en
- Open access
- green
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