Limit cycle based identification of second order processes with time delay

Pandey, Saurabh; Majhi, Somanath

doi:10.1109/indiancc.2016.7441171

Cited by 5 publications

(7 citation statements)

References 17 publications

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“…Ideas of these last two references have been used in this paper. Recent contributions can be found in [9] and [6]; in both works, the information provided by the describing function is used to know the critical point and the dead-time is obtained by measuring the initial difference in the response of the process output with respect to the process input. More references related to identification based on the relay's describing function are [14] and [4]; the main contributions of these works is the design of the experiments for obtaining additional critical points at different frequencies to solve the equations.…”

Section: Estimation Based On Relay-induced Oscillations: Basis and Prmentioning

confidence: 99%

“…and following (9), and as indicated in [16] The last problem to solve is the estimation of the steady gain. Expression (9) cannot be applied as the oscillations produced by a relay are symmetric and the integration of the semi periods will be zero.…”

Section: The Basis Of the Approachmentioning

confidence: 99%

“…Expression (9) cannot be applied as the oscillations produced by a relay are symmetric and the integration of the semi periods will be zero. However, if an asymmetry is introduced in the oscillations by adding a small bias to the relay output (see Figure 1), the process static gain can be derived from (9) [11]…”

Section: The Basis Of the Approachmentioning

confidence: 99%

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An estimation approach for process control based on asymmetric oscillations

Sánchez¹,

Guinaldo²,

Dormido³

et al. 2020

XXXVIII Jornadas De Automática: Gijón, 6, 7, Y 8 De Septiembre De 2017

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Todos los derechos reservados. De conformidad con lo dispuesto en la legislación vigente, podrán ser cas�gados con penas de multa y privación de libertad quienes reproduzcan o plagien, en todo o en parte, una obra literaria, ar�s�ca o cien�fica, fijada en cualquier �po y soporte, sin la precep�va autorización. JA2017 Prefacio Prefacio Las Jornadas de Automática se celebran desde hace 40 años en una universidad nacional facilitando el encuentro entre expertos en estaárea en un foro que permite la puesta en común de las nuevas ideas y proyectos en desarrollo. Al mismo tiempo, propician la siempre necesaria colaboración entre investigadores delámbito de la Ingeniería de Control y Automática, así como de campos afines, a la hora de abordar complejos proyectos de investigación multidisciplinares. En esta ocasión, las Jornadas estarán organizadas por la Universidad de Oviedo y se han celebrado del 6 al 8 de septiembre de

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Section: Estimation Based On Relay-induced Oscillations: Basis and Prmentioning

confidence: 99%

Section: The Basis Of the Approachmentioning

confidence: 99%

See 1 more Smart Citation

An estimation approach for process control based on asymmetric oscillations

Sánchez¹,

Guinaldo²,

Dormido³

et al. 2020

XXXVIII Jornadas De Automática: Gijón, 6, 7, Y 8 De Septiembre De 2017

View full text Add to dashboard Cite

show abstract

“…The approaches presented by Bajarangbali and Mahji ,, report online and off-line methods to fit stable and unstable first- and second-order systems using the DF analysis of a relay with hysteresis to reduce the effect of measurement noise. In other DF-based contributions, , the information provided by the DF formulation of a relay without hysteresis is used to know the critical point and the dead time is obtained by measuring the initial difference in the response of the process output, with respect to the process input.…”

Section: Estimation With the Describing Function: Basis And Problemsmentioning

confidence: 99%

Enhanced Event-Based Identification Procedure for Process Control

Sánchez

Guinaldo

Visioli

et al. 2018

Ind. Eng. Chem. Res.

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An enhanced event-based identification procedure for process control has been developed based on the information obtained from the oscillations that an event-based sampler introduces in the feedback loop. The describing function analysis is used to explain the basis of the method because the event-based sampler behaves as a static nonlinearity. Features of the method are (a) the event-based procedure does not require a priori process information, (b) noniterative algorithms are sufficient to derive the process parameters, (c) only one test is needed, and (d) it allows identifying the process at a userspecified phase angle in the third quadrant. The method is presented for estimation of most common transfer functions found in chemical and process industry: first and second order, as well as integrating processes with non-minimum-phase dynamics. Furthermore, the procedure can be extended to estimate models of any structure with five or more parameters.

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“…By introducing into the loop for the duration of the identification test an element with known dynamics, it is possible to determine more parameters of the identified model [7], [8]. Many articles have also been published in recent years describing the methods for determining the parameters of plant models with the assumed model class [9]- [14].…”

Section: Introductionmentioning

confidence: 99%