research-article

Non-singular Fast Terminal Sliding Mode Control of Electromechanical Actuators Based on Fuzzy Neural Networks

Authors:

Guang Yang,

Jian Hu,

Jie Ren,

Changfang ZhaoAuthors Info & Claims

RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

Pages 1311 - 1315

https://doi.org/10.1145/3584376.3584607

Published: 19 April 2023 Publication History

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Abstract

Electromechanical actuators are currently widely used in various engineering fields, whose advantages include convenient maintenance and strong stability. To meet the requirements of control precision and response speed for electromechanical actuators, a non-singular fast terminal sliding mode control method based on fuzzy neural network was designed in this paper. The non-singular fast terminal sliding mode controller can not only speed up the response tracking speed, but also solve the singular phenomenon that the fast terminal sliding mode control will make the input of the control system show an infinite trend to let the system will eventually stabilize. Aiming at the nonlinear factors existing in the system, the universal approximation characteristics of the fuzzy Radial Basis Function (RBF) neural network were used to track and compensate for nonlinear factors. The Lyapunov stability theorem was adopted to prove the stability of the designed controller. Through the repeated correspondence of simulation and experiment, it was proved that the designed controller has better control precision than the currently commonly used proportional-integral-derivative (PID) controller and Adaptive Robust Controlller (ARC).

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Zhao YPang SLv ZMiao SEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Augmented Digital Twins for Predictive Automatic Regulation and Fault Alarm in Sewage PlanProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3613778(8495-8503)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3613778
Zhang HWu ZJin BYang SYin G(2023)Research on Sensorless Control of Pulse Generator based on Sliding Mode Observer2023 International Conference on Artificial Intelligence and Automation Control (AIAC)10.1109/AIAC61660.2023.00060(314-319)Online publication date: 17-Nov-2023
https://doi.org/10.1109/AIAC61660.2023.00060

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RICAI '22: Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

December 2022

1396 pages

ISBN:9781450398343

DOI:10.1145/3584376

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 19 April 2023

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RICAI 2022

RICAI 2022: 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence

December 16 - 18, 2022

Dongguan, China

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Zhao YPang SLv ZMiao SEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Augmented Digital Twins for Predictive Automatic Regulation and Fault Alarm in Sewage PlanProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3613778(8495-8503)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3613778
Zhang HWu ZJin BYang SYin G(2023)Research on Sensorless Control of Pulse Generator based on Sliding Mode Observer2023 International Conference on Artificial Intelligence and Automation Control (AIAC)10.1109/AIAC61660.2023.00060(314-319)Online publication date: 17-Nov-2023
https://doi.org/10.1109/AIAC61660.2023.00060

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Adaptive nonsingular fast terminal sliding mode control for electromechanical actuator

Fuzzy sliding mode PI controller for nonlinear systems

Dual cerebella model neural networks based robust adaptive output feedback control for electromechanical actuator with anti‐parameter perturbation and anti‐disturbance

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