Discrete Global Sliding Mode Control for Time-Delay Carbon Fiber Multilayer Diagonal Loom

Liu, Wei; Xu, Guowei; Jiang, Xiuming

doi:10.1109/access.2017.2734805

Cited by 17 publications

(8 citation statements)

References 17 publications

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“…where, J z (t) is the moment of inertia of the warp beam, J 0 is the moment of inertia of the empty warp beam, and J D is the moment of inertia of the motor shaft [29]. Substituting (3), (4), and (5) into (6),…”

Section: A the Let-off Mechanismmentioning

confidence: 99%

“…With the rapid development of computer technology, advanced control methods have been used to maintain warp tension in looms [5]. Liuet al [6] proposed a fast-discrete global sliding-mode control method, and the method, applied it to the tension control system of the carbon fiber multilayer diagonal loom with time delay, and verified its effectiveness.…”

Section: Introductionmentioning

confidence: 99%

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Tension Networked Control Strategy for Carbon Fiber Multilayer Diagonal Loom

Liu

et al. 2020

IEEE Access

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With the aim of solving warp tension control problems in the let-off system and opening system in the carbon fiber multilayer diagonal loom, dynamic models of warp tension are established in this study based on dynamic analysis. Adaptive fuzzy PID control is applied to the tension-networked control, and an adaptive fuzzy PID controller is designed to solve the problems of network induced delay, packet loss, and network bandwidth occupancy. A TrueTime simulation structure of the tension control system is also built. Compared with PID control, adaptive fuzzy PID control exhibited the advantages of a small overshoot, small fluctuation of output tension, good tracking effect, and stability in simulations under different conditions, including a 30-ms network induced delay, 10% packet loss, and 30% network bandwidth occupancy. The results of the simulations show that adaptive fuzzy PID control has better control effect than PID control, and is more suitable for tension-networked control systems in the carbon fiber multilayer diagonal loom. INDEX TERMS Carbon fiber multilayer diagonal loom, tension control, networked control systems, adaptive fuzzy PID control.

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Section: A the Let-off Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tension Networked Control Strategy for Carbon Fiber Multilayer Diagonal Loom

Liu

et al. 2020

IEEE Access

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“…u c =ω (17) where ξ (i c ) and φ(S) is fuzzy basis function, u c is compensation control term. Theorem 1: Consider shunt active power filter with disturbance represented by (5), if the control law is formulated as (14), with compensation control (17) and adaptive law (18)(19)(20), all signals in the closed-loop system is bounded and convergence of tracking errors can be guaranteed.…”

Section: Adaptive Fuzzy Global Sliding Mode Controllermentioning

confidence: 99%

“…Global sliding mode control (GSMC) is developed to overcome the weakness of the conventional sliding mode control and make the system be robust in the whole process. Liu et al [20] introduced a novel discrete global sliding mode control in the tension control system of carbon fiber multilayer diagonal loom. Chu et al [21] showed an adaptive backstepping neural global proportional integral derivative sliding mode control for APF.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Adaptive Fuzzy Global Sliding Mode Control of Single-Phase Shunt Active Power Filters

2019

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In this paper, an indirect adaptive fuzzy global sliding mode control methods (AFGSMC) are proposed for single-phase shunt active power filter as a current controller. First, a global sliding mode control applied to the current control loop is designed to guarantee global robustness. Then, a fuzzy system is used to approximate the unknown dynamics in order to eliminate the dependence on the prior knowledge, and another fuzzy system is used to replace the switching control term to reduce the chattering phenomenon. Moreover, the compensation control term is designed based on the fuzzy approximation error estimation, which ensures the tracking performance of the closed-loop system. The experimental results demonstrate that the proposed control methods offer a good behavior in both steady state and transient operation, reducing the THD of source current to less than 5% and improving the power quality in order to meet the recommendations of the IEEE 519 standard.

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“…Citation information: DOI 10.1109/ACCESS.2021.3064960, IEEE Access [在此处键入] reaches the sliding surface, and robustness is not guaranteed during the reaching phase. The global sliding mode control is used to eliminate the reaching phase, the critical point is to keep the system state trajectory on the sliding mode surface, so the control scheme has better robustness [24][25][26][27][28]. However, there are few papers on global sliding mode control used in antilock braking systems.…”

Section: Introductionmentioning

confidence: 99%

Global Sliding Mode Control for Nonlinear Vehicle Antilock Braking System

Wang

2021

IEEE Access

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In order to further improve the braking performance of the nonlinear antilock braking system (ABS), an improved global sliding mode control scheme is presented. First, a nonlinear global sliding mode surface is designed. The method can eliminate the reaching phase compared with conventional linear sliding mode surface, and guarantee the system robustness during the whole control process. Then, a novel control law is proposed to satisfy the sliding mode reaching condition, and the theoretical proof is given. Simulation results demonstrate that the proposed global sliding mode control scheme enables the wheel slip-ratio to converge to optimal value quickly with the small oscillation, and has relatively short braking distance and braking time, which is very suitable to prevent the wheel from being locked during braking. The proposed global sliding mode control scheme is verified by joint simulation using MATLAB and CarSim, and shows good braking performance when the car is driving under extreme road conditions, which indicates the effectiveness of the proposed sliding mode control scheme. INDEX TERMS Antilock braking system (ABS), global sliding mode control, braking performance, slipratio, MATLAB and CarSim HONGWEI WANG was born in Tieling, Liaoning, China, in 1983. She received the B.S. degree in electrical engineering and automation from the Liaoning University of Technology, China, in 2004 and the B.S. degree in control theory and control engineering from the Northeastern University, China, in 2006 and the Ph.D. degree in control theory and control engineering from the Northeastern University, China, in 2009. Since 2009, she is currently an assistant professor with the school of control engineering, Northeastern University at Qinhuangdao. She has published about 40 papers, including 20 journal papers and one book chapter. Her research interests include vehicle safety control, sliding mode control, intelligent control and prediction control. SHAOWEN WU is currently pursuing the B.S. degree with Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, China. He works with Hongwei Wang as a Student Researcher. His current research interests include robust control and intelligent control.

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Discrete Global Sliding Mode Control for Time-Delay Carbon Fiber Multilayer Diagonal Loom

Cited by 17 publications

References 17 publications

Tension Networked Control Strategy for Carbon Fiber Multilayer Diagonal Loom

Tension Networked Control Strategy for Carbon Fiber Multilayer Diagonal Loom

Experimental Investigation of Adaptive Fuzzy Global Sliding Mode Control of Single-Phase Shunt Active Power Filters

Global Sliding Mode Control for Nonlinear Vehicle Antilock Braking System

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