Robust decentralised control strategies for large-scale web handling systems

Benlatreche, A.; Knittel, Dominique; Ostertag, E.

doi:10.1016/j.conengprac.2006.03.003

Cited by 75 publications

(46 citation statements)

References 22 publications

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“…The weighting function W u is used to avoid large control signals and the weighting function W t increases the roll-off at high frequencies. To specify independently the tracking performance and robustness to perturbations, a two degree of freedom H ∞ controller can be used Benlatreche, et al, 2006). To take into account the inherent system nonlinearities and some constant values (such as static friction in roller bearings) in the control strategy, model based feedforward signals have been added to the control signals.…”

Section: Reduced Order Centralized Control With Feedforwardmentioning

confidence: 99%

“…with a high number of actuators and sensors, and it is not suitable to use a centralized controller for such processes. An alternative solution is to use semi-decentralized control: the global system is split into several subsystems controlled independently by its own controller (Knittel, 2003;Benlatreche, et al, 2006). Recently, multivariable decentralized control strategies have been proposed for industrial metal transport systems (Geddes, and Postlethwaite, 1998;Grimble, and Hearns, 1999), and for elastic web with H ∞ controllers (Featherstone, et al, 2000;Knittel, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, multivariable decentralized control strategies have been proposed for industrial metal transport systems (Geddes, and Postlethwaite, 1998;Grimble, and Hearns, 1999), and for elastic web with H ∞ controllers (Featherstone, et al, 2000;Knittel, 2003). Decentralized control with overlapping of adjacent subsystems, as in (Siljak, 1991;Knittel, 2003;Benlatreche, et al, 2006;Pagilla, and Knittel, 2005), can be used to reduce the coupling between two consecutive subsystems. Such a control strategy has already given good results in the case of a vehicle platoon (Stankovic, et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

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Fixed – Order and Structure H∞ Control With Model Based Feedforward for Elastic Web Winding Systems

Knittel

Henrion

Millstone

et al. 2007

IFAC Proceedings Volumes

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In web transport systems, the main concern is to control independently speed and tension in spite of perturbations such as radius variations and changes of setting point. This paper presents the application of nonsmooth nonconvex optimization techniques to design centralized fixed order and decentralized fixed order and fixed structure H ∞ controllers with model based feedforward for web winding systems. The approach provides improved web tension and velocity regulation. First, mathematical models of fundamental elements in a web process line are presented. A state space model is developed which enables calculation of the phenomenological model feedforward signals and helps in the synthesis of H ∞ controllers around the set points given by the reference signals. The H ∞ control strategies with additive feedforward have been validated on a nonlinear simulator identified on a 3-motor winding test bench.

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Section: Reduced Order Centralized Control With Feedforwardmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fixed – Order and Structure H∞ Control With Model Based Feedforward for Elastic Web Winding Systems

Knittel

Henrion

Millstone

et al. 2007

IFAC Proceedings Volumes

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“…For system (9), each EESM can track its desired speed and maintain coordination performance with other motors if there exist a symmetric and positive-definite matrix 5 On the basis of (13), (19), and (21), the following equation is obtained. 1 1 2 2 2 2 4 4 4 4 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 14 15 24 25 2 2 44 2 2 2 2 2 2 1 1 1 1 41 42 45 51 2 …”

Section: T T T T T T Pe E P a P Pa K B P Pbk Q P Pqmentioning

confidence: 99%

“…In [6], an optimal synchronization for high-precision motion system was designed by introducing coupling and synchronization factors into the synchronization error. Many other control strategies have been adopted in this field, and they include adaptive control [7]- [9], fuzzy control [10], [11], electronic line-shafting control [12], [13], robust control [14]- [19], neural network control [20], gain-scheduled control [21], and model-free control [22].…”

Section: Introductionmentioning

confidence: 99%

Coordination Control of Multiple Electrical Excited Synchronous Motors and Its Application in High-Power Metal-Rolling Systems

Shang¹,

Nian²,

Liu³

2016

Journal of Power Electronics

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This study focuses on the coordination control problem of multiple electrical excited synchronous motor systems. A robust coordination controller is designed on the basis of cross coupling and an interval matrix. The proposed control strategy can deal with load uncertainty. In addition, the proposed control strategy is applied to a high-power metal-rolling system. Simulation and experiment results demonstrate that the proposed control strategy achieves good dynamic and static performance. It also shows better coordination performance than traditional proportional-integral controllers.

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Adaptive control and signal processing literature survey (No. 4)

2008

Adaptive Control & Signal

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In order to keep readers up to date, the journal will contain a list of recently published journal articles relevant to the fields of adaptive control and signal processing six times a year. This list is compiled from a wide range of journals. Please note that even though the list has been broadly categorized these classifications are by no means strict, and are there to assist the reader. Please also note that inclusion in the list is not an endorsement of a paper's quality. If you have any suggestions or comments, please e-mail Leonardo Giovanini at l.giovanini@eee.strath.ac.uk. ADAPTIVE SYSTEMSCai Z, Freeman C, Lewin P, Rogers E. Iterative learning control for a non-minimum phase plant based on a reference shift algorithm. Control Engineering Practice (Special Section on Large Scale Systems) 2008; 16(6):633-643. Das T, Mukherjee R. Optimally switched linear systems. Automatica 2008; 44(5): 1437-1441. Hinnen K, Verhaegen M, Doelman N. A datadriven-optimal control approach for adaptive optics. IEEE Transactions on Control Systems Technology 2008; 16(3):381-395. Yan L, Hsu L, Costa R, Lizarralde F. A variable structure model reference robust control without a prior knowledge of high frequency gain sign. Automatica 2008; 44(4):1036-1044. Zhao J, Hill D. On stability, L 2 -gain and H ∞ control for switched systems. Automatica 2008; 44(5):1220-1232. Zhou J, Lu J, Lu J. Pinning adaptive synchronization of a general complex dynamical network. Automatica 2008; 44(4):996-1003. 2. SIGNAL PROCESSING Bagajewicz M, Nguyen D-Q. Stochastic-based accuracy of data reconciliation estimators for linear systems. Computers and Chemical Engineering 2008; 32(6):1257-1269. Ellis T, McNames J, Goldstein B. Optimal filter design to compute the mean of cardiovascular pressure signals. IEEE Transactions on Biomedical Engineering 2008; 55(4): 1399-1407. Feng Z, Teo K, Rehbock V. Hybrid method for a general optimal sensor scheduling problem in discrete time. Automatica 2008; 44(5): 1295-1303. Fira C, Goras L. An ECG signals compression method and its validation using NNs. IEEE Transactions on Biomedical Engineering 2008; 55(4):1319-1328. Foo Y, Soh Y. Robust Kalman filtering for uncertain discrete-time systems with probabilistic parameters bounded within a polytope. Systems and Control Letters 2008; 57(6): 482-488. Gao Y, Tao G-L, Deng Z-L. Decoupled distributed Kalman fuser for descriptor systems. Signal Processing 2008; 88(5):1261-1270. Geromel J, Korogui R. Robust filter design with performance certificate via convex programming. Automatica 2008; 44(4):937-948.

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Robust decentralised control strategies for large-scale web handling systems

Cited by 75 publications

References 22 publications

Fixed – Order and Structure H∞ Control With Model Based Feedforward for Elastic Web Winding Systems

Fixed – Order and Structure H∞ Control With Model Based Feedforward for Elastic Web Winding Systems

Coordination Control of Multiple Electrical Excited Synchronous Motors and Its Application in High-Power Metal-Rolling Systems

Adaptive control and signal processing literature survey (No. 4)

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