Multivariable identification of a winding process by subspace methods for tension control

Bastogne, Thierry; Noura, Hassan; Sibille, P.; Richard, Alain

doi:10.1016/s0967-0661(98)00069-0

Cited by 39 publications

(10 citation statements)

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“…The N4SID method is geometric in the approach, and involve the subspaces spanned by the rows and/or columns of matrices constructed from the input-output data. The general algorithm of the subspace methods involves the following major steps [17,16]:…”

Section: Subspace Methods Of System Identificationmentioning

confidence: 99%

“…Suppose that all the linear model parameters G ij and G y−ij in (16), (17), and (18) are successfully obtained using system identification technique, the prediction of y 1 using model structure in (16) will only requires the measurement data of u 1 , u 2 , and u 3 , while when model structure in (17) is used, the prediction of y 1 also requires the measurement data of y 2 , and vice versa for the prediction of y 2 .…”

Section: Model Structuresmentioning

confidence: 99%

“…According to Bastogne et al [17] and Sotomayor et al [13], a more practical procedure for order estimation is to choose the value n that minimizes simulation errors. Fig.…”

Section: Order Estimationmentioning

confidence: 99%

See 2 more Smart Citations

MIMO model of an interacting series process for Robust MPC via System Identification

Wibowo

Saad

2010

ISA Transactions

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Section: Subspace Methods Of System Identificationmentioning

confidence: 99%

Section: Model Structuresmentioning

confidence: 99%

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MIMO model of an interacting series process for Robust MPC via System Identification

Wibowo

Saad

2010

ISA Transactions

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“…Physical modeling of winding systems has already been developed in Bastogne, Noura, Sibille, and Richard (1998) and Koc -, Knittel, de Mathelin, and Abba (2002). It generally leads to a non linear and continuous-time model structure MðYÞ in which Y, defined in Table 2, is a vector composed of 31 physical parameters.…”

Section: White-box Modelmentioning

confidence: 99%

Selection and identification of physical parameters from passive observation. Application to a winding process

Bastogne¹,

Thomassin²,

Masse³

2007

Control Engineering Practice

Self Cite

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International audienceThis paper deals with parameter selection and estimation of large and complex simulation models. This estimation problem is addressed in the case of passive observation, i.e. when no controlled experiment is possible. Given the lack of information in the data, an appropriate methodology is proposed to select and estimate some physical parameters of the model. Its implementation is based on a new software: Diffedge which makes it possible to symbolically determine model output sensitivity functions of block diagrams. An application to a winding prototype is developed to illustrate the effectiveness of such an approach in practice

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“…In addition, the least squares method is used for friction torque identification. Only a few and rare papers [12][13] have focused on analyzing the quality of an identification method, and especially, the model order estimation in the case of web transport systems.…”

Section: Introductionmentioning

confidence: 99%

Position controller tuning of an intermittent web transport system using off-line identification

Nevaranta

Niemelä

Lindh

et al. 2013

2013 15th European Conference on Power Electronics and Applications (EPE)

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Mathematical modeling as well as design of proper process controllers for web handling systems requires knowledge of the system dynamics or observations from an actual system. The dynamic behaviour of a web handling system is defined by the interactions between a flexible web, rollers and electric drives. In this paper, offline-identification of a web transport subsystem is considered. The identification of the system is carried out by exciting the controlled system with a pseudo-random binary signal (PRBS) as torque reference. A discrete time polynomial model with an Output-Error (OE) structure is used in the time-domain identification process. Moreover, this paper investigates the tension and position controls of an intermittent web transport system. The position controller of the system is designed for the identified and reference system model with H ∞ -loop shaping. Validation of the controller design and the influence of the model improvement are verified through experimental tests.

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Multivariable identification of a winding process by subspace methods for tension control

Cited by 39 publications

References 0 publications

MIMO model of an interacting series process for Robust MPC via System Identification

MIMO model of an interacting series process for Robust MPC via System Identification

Selection and identification of physical parameters from passive observation. Application to a winding process

Position controller tuning of an intermittent web transport system using off-line identification

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