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Algorithms 2018, 11(11), 166; https://doi.org/10.3390/a11110166

High-Gain Observer-Based Sliding-Mode Dynamic Surface Control for Particleboard Glue Mixing and Dosing System

1
College of Electrical Mechanical Engineering, Northeast Forestry University, Harbin 150040, China
2
College of Science, Northeast Forestry University, Harbin 150040, China
3
College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China
*
Author to whom correspondence should be addressed.
Received: 10 October 2018 / Revised: 19 October 2018 / Accepted: 21 October 2018 / Published: 23 October 2018
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Abstract

In the process of particleboard glue mixing and dosing control under the working condition of intermediate frequency, a sliding-mode dynamic surface control strategy based on high-gain observer is proposed in this paper to deal with the problem of glue flow stability caused by strong nonlinearity. The high-gain observer (HGO) is aimed at estimating the derivative of the immeasurable system input signal for feedback, and the robustness of the system is improved by the dynamic surface control (DSC) method. Furthermore, the sliding-mode control (SMC) method is used to deal with disturbances caused by the uncertainties as well as external disturbances. It is proven that the system is exponential asymptotic stable by constructing a suitable Lyapunov function. Simulation results show that the proposed control methods can make the system track the expected flow value quickly and accurately. Finally, numerical simulation results are exhibited to authenticate and validate the effectiveness of the proposed control scheme. View Full-Text
Keywords: particleboard glue mixing and dosing system; sliding-mode dynamic surface control; high-gain observer particleboard glue mixing and dosing system; sliding-mode dynamic surface control; high-gain observer
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Wang, P.; Zhang, C.; Zhu, L.; Wang, C. High-Gain Observer-Based Sliding-Mode Dynamic Surface Control for Particleboard Glue Mixing and Dosing System. Algorithms 2018, 11, 166.

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