Robust Decentralized $H_\infty$  Control for a Multi-Motor Web-Winding System

Chen, Jie; Hou, Hetao; Yang, Tongguang

doi:10.1109/access.2019.2906223

Cited by 12 publications

(4 citation statements)

References 26 publications

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“…In terms of tension decoupling control, proportional integral derivative (PID) control, fuzzy control, active disturbance rejection control (ADRC), neural network control and other control methods are applied to tension system aiming at its nonlinear and time-varying parameters. Chen [7] proposed a robust decentralized H ∞ control method for multi-motor winding systems with nonlinear coupling and parameter uncertainties. Xiao [8] used a fuzzy PID model for tension control, and optimized fuzzy rules of fuzzy PID by genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Design Decoupling Controller based on Feedforward and Improved PID for Tension System

Ding¹,

Liu²,

Zhang³

et al. 2023

jist

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It is difficult to precisely control the substrate tension due to the tension system of roll-to-roll coating machine with strong coupling and time-varying parameters. Therefore, a feedforward improved proportional integral derivative (PID) parameters self-tuning decoupling controller of tension system is proposed in this paper. According to the components and working principle of the coating machine, the nonlinear coupling mechanism model of the global tension system is established, and the model is linearized by using the Taylor series. Based on the linear model, a feedforward improved PID parameters self-tuning decoupling controller is designed for tension system. Through the feedforward control compensates the modeled tension and speed interference, a tracking differentiator (TD) is used to improve the performance of PID, and the online self-tuning of PID parameters can be realized by an Radial Basis Function (RBF) identification network. The simulation results show that the proposed decoupling control strategy of tension system can well suppress the coupling interference between the units, and realize the real-time tuning of PID parameters.

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Section: Introductionmentioning

confidence: 99%

Design Decoupling Controller based on Feedforward and Improved PID for Tension System

Ding¹,

Liu²,

Zhang³

et al. 2023

jist

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show abstract

“…Jiang designed a sliding mode controller for controlling the diaphragm tension in the unwinding process [5]. Chen et al [6] designed a robust decentralized H∞ controller to attenuate tension fluctuations introduced by the external disturbances and interaction between two consecutive subsystems. Kuznetsov et al [7] developed a method of feedforward robust stochastic anisotropic control synthesis by cable winding machine.…”

Section: Introductionmentioning

confidence: 99%

An ADRC Parameters Self-Tuning Control Strategy of Tension System Based on RBF Neural Network

Liu¹,

Ding²,

Wang³

et al. 2023

Journal of Renewable Materials

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High precision control of substrate tension is the premise and guarantee for producing high-quality products in roll-to-roll precision coating machine. However, the complex relationships in tension system make the problems of decoupling control difficult to be solved, which has limited the improvement of tension control accuracy for the coating machine. Therefore, an ADRC parameters self-tuning decoupling strategy based on RBF neural network is proposed to improve the control accuracy of tension system in this paper. Firstly, a global coupling nonlinear model of the tension system is established according to the composition of the coating machine, and the global coupling model is linearized based on the first-order Taylor formula. Secondly, according to the linear model of the tension system, a parameters self-tuning decoupling algorithm of the tension system is proposed by integrating feedforward control, ADRC and RBF. Finally, the simulation results show that the proposed tension control strategy has good decoupling control performance and effectively improves the tension control accuracy for the coating machine.

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“…Therefore, it is of profound significance to consider the robust control of uncertain interconnected systems. The control problem for such system is in one of the frontier areas of research these years, and many research results have been acquired (Chen et al, 2019; Li and Liu, 2012). Li and Liu (2012) constructed a Lyapunov–Krasovskii function to research the decentralized control for interconnected neutral systems with mismatched condition and nonlinear uncertainty.…”

Section: Introductionmentioning

confidence: 99%

“…Li and Liu (2012) constructed a Lyapunov–Krasovskii function to research the decentralized control for interconnected neutral systems with mismatched condition and nonlinear uncertainty. Chen et al (2019) introduced the interval matrix to deal with the uncertain parameters in the web-winding system and gave the existence conditions of the H∞ decentralized robust controller. More interesting results in this filed can be found in Wu (2017) and Rahmani (2020).…”

Section: Introductionmentioning

confidence: 99%

Decentralized robust preview control for uncertain continuous-time interconnected systems

Xie

Liao

et al. 2022

Journal of Vibration and Control

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This paper investigates the problem of robust preview tracking control for uncertain continuous-time interconnected systems. We adopt the technology of decentralized control. The tracking controller for each uncertain isolated subsystem is first designed. With the help of an uncertain error system, the considered tracking problem is converted into a regulation problem. The preview tracking controller for the nominal system is obtained by utilizing existing results. A novel method is proposed to tackle the uncertainty in the systems. In this method, the uncertainty bound is incorporated into the cost function. As a result, the preview tracking controller of the nominal system can be treated as a robust preview controller of the uncertain isolated subsystem. Then, the controllers of the uncertain isolated subsystems are assembled as a robust preview controller of uncertain interconnected systems. Finally, an academic numerical example is presented to show the effectiveness and superiority of the proposed controller.

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Robust Decentralized $H_\infty$ Control for a Multi-Motor Web-Winding System

Cited by 12 publications

References 26 publications

Design Decoupling Controller based on Feedforward and Improved PID for Tension System

Design Decoupling Controller based on Feedforward and Improved PID for Tension System

An ADRC Parameters Self-Tuning Control Strategy of Tension System Based on RBF Neural Network

Decentralized robust preview control for uncertain continuous-time interconnected systems

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