LAPSE:2023.2598
Published Article
LAPSE:2023.2598
Adaptive Fuzzy Fractional Order Global Sliding Mode Tracking Control Algorithm for Particleboard Glue System
Liangkuan Zhu, Xing Qi, Peiyu Wang
February 21, 2023
Abstract
In this paper, a novel flow tracking control scheme for particleboard glue system with complex disturbance and unmeasurable system state is investigated. The method is based on hyperbolic tangent extended state observer and adaptive fuzzy fractional order global sliding mode control with exponential reaching law. The novel compound control scheme has the following advantages: Firstly, the extended state observer with hyperbolic tangent function can improve the estimation ability for the system state and complex disturbance without detailed knowledge of the controlled plant and disturbance model. Secondly, the global sliding mode control method based on fractional calculus can improve the response speed and robustness of the system, and provide a more flexible controller structure than the traditional sliding mode controller. Thirdly, the adaptive fuzzy controller is introduced to approximate the sliding mode switching term, so as to reduce the chattering phenomenon of the system. In addition, the convergence of the proposed observer and asymptotic stability of the control system are verified based on strict Lyapunov analysis. Finally, the numerical simulation results show the effectiveness of the proposed compound control scheme for particleboard glue system.
Keywords
complex disturbance, fractional order, global sliding mode control algorithm, hyperbolic tangent extended state observer, particleboard glue system
Suggested Citation
Zhu L, Qi X, Wang P. Adaptive Fuzzy Fractional Order Global Sliding Mode Tracking Control Algorithm for Particleboard Glue System. (2023). LAPSE:2023.2598
Author Affiliations
Zhu L: College of Electrical Mechanical Engineering, Northeast Forestry University, Harbin 150040, China
Qi X: College of Electrical Mechanical Engineering, Northeast Forestry University, Harbin 150040, China
Wang P: College of Electrical Mechanical Engineering, Northeast Forestry University, Harbin 150040, China
Journal Name
Processes
Volume
10
Issue
4
First Page
719
Year
2022
Publication Date
2022-04-08
ISSN
2227-9717
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Original Submission
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PII: pr10040719, Publication Type: Journal Article
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LAPSE:2023.2598
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https://doi.org/10.3390/pr10040719
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