Decoupling control method of paper cross‐directional basis weight based on sparse decomposition

Zhou, Qiang; Zhang, Jing; Tuo, Ling; Li, Wei

doi:10.1002/cjce.23488

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…Pointwise-spatial frequency (magnitude) constraints to achieve the desired actuator profile are addressed in [10]. The decentralized control of the nonlinear MIMO system is described in [11]. Local frequency response data-based analysis and controller synthesis conditions for MIMO linear parameter-varying systems are described in [12].…”

Section: This Work Describes Three Problemsmentioning

confidence: 99%

Robust Cross Directional Controller Design for Paper Machine Spatial Distributed System

et al. 2023

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The paper manufacturing process is a large-scale process in which the control performance is required to be optimal in the machine direction (MD) and cross direction (CD). This work focuses on CD control, which is more complicated than MD control. Uncertainties in the process arise from different sources, so there is a requirement for better modeling techniques. The control of paper profile properties, namely basis weight, moisture, and caliper, is done with the help of actuators that are distributed spatially. Basis weight is taken as the profile parameter in this work. The work aims to improve robust performance and simplify the control design problem. Here, µ synthesis methods are used for controller design, as this method provides guaranteed robust performance. To simplify the design problem two-dimensional modeling is explained explicitly. The conventional methods of µ analysis are extended to spatial coordinates. The performance of the µ synthesis designed method is compared with the open loop shaping method. Control performance is judged in terms of sensitivity, stability margin, σ performance, and robust performance. The effectiveness of the developed µ synthesis designed method is demonstrated using the industrial example from the pulp and paper industry.

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Section: This Work Describes Three Problemsmentioning

confidence: 99%

Robust Cross Directional Controller Design for Paper Machine Spatial Distributed System

et al. 2023

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“…The nonlinear multivariable coupling problem of the CD basis weight control cannot be sufficiently managed by the classical decoupling control, adaptive decoupling control, multivariable robust decoupling control, or intelligent decoupling control [12]. Therefore, the decoupling control method of CD basis weight based on Sparse Decomposition is proposed.…”

Section: Control Decoupling Based On Sparse Decompositionmentioning

confidence: 99%

“…Finally, the atomic library is used to adjust the function of the branch valve. In the simulation, the data of decoupling control effects of the Diagonal matrix method, the Fuzzy decoupling control method, and this method are compared, as shown in Figure .11 [12,Table 1]. This method has the best performance.…”

Section: Control Decoupling Based On Sparse Decompositionmentioning

confidence: 99%

Optimization Methods For Control Systems of The Headbox And The Cross Direction Control on Papermaking Machines

2022

J. Phys.: Conf. Ser.

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This paper briefly introduces the Headbox and the Cross Direction, and analyzes challenges in their control systems. The main challenges in these two control systems are nonlinearity and parameter coupling. To solve these problems, or at least reduce the influence of these problems on the control systems, a few optimization methods are proposed. In this paper, some practical optimization methods are introduced based on modified PID control, which is the most commonly used control system in process industries, such as the paper-making industry. Those methods optimizing the PID control system can be mainly divided into two classes: decoupling and PID tuning. Besides, some practical methods optimizing the Cross Direction control systems are introduced. Also, the introduced methods can be divided into two classes: CD tuning and cooperating with parameters of the headbox system to optimize. The effectiveness of these methods is demonstrated in simulations. However, since the nonlinearity of the system, there is no accurate and unique solution. In addition, with the development of demand and technology, there will be no such thing as an algorithm suitable for every control system, so that new algorithms will be proposed.

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Decoupling control method of paper cross‐directional basis weight based on sparse decomposition

Cited by 2 publications

References 16 publications

Robust Cross Directional Controller Design for Paper Machine Spatial Distributed System

Robust Cross Directional Controller Design for Paper Machine Spatial Distributed System

Optimization Methods For Control Systems of The Headbox And The Cross Direction Control on Papermaking Machines

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