IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society 2013
DOI: 10.1109/iecon.2013.6699683
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Decentralized control design using Integrator Backstepping for controlling web winding systems

Abstract: Many types of materials are manufactured or processed in the form of a sheet or a web (textile, paper, metal, etc.), which then couples the processing rolls and the associated motor drives. In Winding and web transport systems, the main concern is to control independently speed and tension in spite of disturbances such as radius variations and changes of set point, and to the coupling introduced by the elastic web. So the increasing requirement on the control performance led to investigation for sophisticated… Show more

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Cited by 8 publications
(5 citation statements)
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“…It is evident that roll inertia information is essential for control system design [17][18][19]. Conventionally, the roll inertia depends on roll shape and web thickness.…”
Section: Imentioning
confidence: 99%
“…It is evident that roll inertia information is essential for control system design [17][18][19]. Conventionally, the roll inertia depends on roll shape and web thickness.…”
Section: Imentioning
confidence: 99%
“…In [10,11], the authors have designed a controller that is a perfect combination of the backstepping technique and a modified genetic algorithm (GA). Although it has partially solved the nonlinearity of the system, this technique, in some cases, is also susceptible to disturbances, as in the study [12], and has not considered the system of many active conduction rolls [11,12]. Furthermore, calculating a virtual control signal faces numerous challenges due to unknown nonlinear components.…”
Section: Introductionmentioning
confidence: 99%
“…20,21 The authors merged Backstepping controller with Modified Genetic Algorithm, 22 which identifies the optimal system parameters, allowing a three-span R2R web control system to accomplish higher precision and response performance requirements. In the works, 23,24 the formulation of an Integrator Backstepping Control algorithm was conducted to tackle the varying characteristics of the R2R system. The global asymptotic stability of the whole system has been analyzed by choosing the appropriate control Lyapunov function.…”
Section: Introductionmentioning
confidence: 99%
“…24,25,50 (2) A hierarchical control structure is proposed with the combination of FOSMC techniques, and first-order low-pass filters will promote robustness against matched, unmatched uncertainties, the explosion of terms and chattering effects that have not been solved in the studies. [22][23][24][25][26] Apart from that, the use of fractional-order sliding surface plays a vital part in manually optimizing system responses, and hence system performance is improved compared to using traditional sliding surfaces as shown in the works. [27][28][29][30] (3) Instead of just approximating the moment of inertia in the study 45 or calculating uncertainties and disturbances by using fuzzy logic in the study, 30 an RBF neural network-based robust controllers (RBFNN-BRC), which is capable of adapting to uncertainties and disturbances, is implemented to estimate the complete model.…”
Section: Introductionmentioning
confidence: 99%
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