Abstract
The research object of the article is the web winding system, which has a complex MIMO structure, has variable parameters and is affected by noise. In reality today, the controllers of this system mainly use linear control methods. However, linear control methods do not always provide the desired quality. Therefore, research, development and application of nonlinear algorithms to improve system quality is essential. A substantial amount of developments in the field of regulators for complex systems with variable parameters has been realized in the field of robotics and manipulation systems. This paper presents the results of synthesizing the adaptive fast terminal sliding controller based on the neural network for the web winding system for elastic material. The survey and evaluation results by simulation on Matlab-Simulink software show that this controller ensures the quality requirements even when the system is affected by random input noise and model parameters change. The application of the developed solutions in robotics will improve the quality of control and increase the efficiency of mechanical systems.
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References
Chong, C., Xingqiao, L.: Application of fuzzy control in multi-motor tension control system. In: 2010 International Conference on Intelligent System Design and Engineering Application, Changsha, China, pp. 342–346. IEEE (2010). https://doi.org/10.1109/ISDEA.2010.108
Salem, F., Bayoumi, E.: Robust fuzzy-PID control of three-motor drive system using simulated annealing optimization. J. Electr. Eng. 13(3), 284–292 (2013)
Koc, H., Knittel, D., de Mathelin, M., Abba, G.: Robust gain-scheduled control in web winding systems. In: Proceedings of the 39th IEEE Conference on Decision and Control, Sidney, Australia, vol. 4, pp. 4116–4119. IEEE (2000). https://doi.org/10.1109/CDC.2000.912360
Wang, Z., Nan, H., Shi, T., Geng, Q., Xia, C.: No-tension sensor closed-loop control method with adaptive PI parameters for two-motor winding system. Math. Probl. Eng. 2018, 1–14 (2018). https://doi.org/10.1155/2018/1851845
Abjadi, N., Soltani, J., Askari, J., Arab Markade, G.: Nonlinear sliding-mode control of a multi-motor web-winding system without tension sensor. IET Control Theory Appl. 3(4), 419–427 (2009). https://doi.org/10.1049/iet-cta.2008.0118
Tong, T., Nguyen, T., Duong Minh, D., Nguyen, D., Nguyen, T.: Tension control for multi-span web transport systems with roll inertia compensation using RBF neural network. Measur. Control Autom. 2(1), 1–9 (2021)
Zhou, Y., Soh, Y., Shen, J.: High-gain observer with higher order sliding mode for state and unknown disturbance estimations. Int. J. Robust Nonlinear Control 24(15), 2136–2151 (2014). https://doi.org/10.1002/rnc.2982
Agafonov, A., Yumaganov, A.: Cooperative control of traffic signals and vehicle trajectories. Inform. Autom. 22(1), 5–32 (2023)
Gryaznov, N.: Navigation data exchange for traffic control. Inform. Autom. 22(1), 33–56 (2023)
Anikin, D., Ryabinov, A., Saveliev, A., Semenov, A.: Autonomous landing algorithm for UAV on a mobile robotic platform with a fractal marker. In: Ronzhin, A., Sadigov, A., Meshcheryakov, R. (eds.) ICR 2023. LNCS, vol. 14214, pp. 357–368. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-43111-1_32
Golovin, V., Yakovlev, K.: Motion primitives in the trajectory planning problem with kinematic constraints. Inform. Autom. 22(6), 1354–1386 (2023). https://doi.org/10.15622/ia.22.6.4
Kozyr, P., Vasunina, Y., Saveliev, A.: Algorithm for replacing the battery of a robotic tool using servicing mobile robots on inhomogeneous surfaces. In: Ronzhin, A., Meshcheryakov, R., Xiantong, Z. (eds.) ICR 2022. LNCS, vol. 13719, pp. 269–283. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-23609-9_24
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Van Tuyên, T., Xuan Tinh, T., Krestovnikov, K. (2024). Adaptive Fast Terminal Sliding Mode (FTSM) Control and High Gain Observer (HGO) for Multi-motor Web Transport Systems. In: Ronzhin, A., Savage, J., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2024. Lecture Notes in Computer Science(), vol 14898. Springer, Cham. https://doi.org/10.1007/978-3-031-71360-6_10
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DOI: https://doi.org/10.1007/978-3-031-71360-6_10
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