Identification of FOPDT and SOPDT process dynamics using closed loop test

Bajarangbali, R.; Majhi, Somanath; Pandey, Saurabh

doi:10.1016/j.isatra.2014.05.014

Cited by 49 publications

(15 citation statements)

References 26 publications

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“…8.118 + 1 (Shen et al, 1996) 0.999 !!.!! 9.9957 + 1 (Bajarangbali et al, 2014) 1.03 !!.!! 10.03 + 1 (Srinivasan and Chidambaram, 2003) 1.003 !!.!"#!!…”

Section: Planta Realmentioning

confidence: 99%

Identificación de sistemas de primer y segundo orden mediante control basado en reset

Zaragoza

Sánchez

Baños

2020

Rev. iberoam. autom. inform. ind.

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El artículo presenta un método para la identificación de plantas de primer y segundo orden con retardo usando controladores reseteados en ausencia de perturbaciones. El método se basa en el cumplimiento del principio de equilibrio armónico, lo que implica el uso de una aproximación del controlador reseteado mediante su función descriptiva. Para la realización de este trabajo se ha elegido el controlador FORE (First Order Reset Element) con banda de reset porque es el controlador reseteado que posee todas las características intrínsecas de este tipo de controladores y presenta una función descriptiva que depende de la amplitud y frecuencia de la señal sinusoidal de su entrada. Por otro lado, el que el comportamiento de este controlador dependa de la anchura de la banda de reset que se haya fijado permite estudiar el impacto de este parámetro en el proceso de identificación y en su precisión.

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“…8.118 + 1 (Shen et al, 1996) 0.999 !!.!! 9.9957 + 1 (Bajarangbali et al, 2014) 1.03 !!.!! 10.03 + 1 (Srinivasan and Chidambaram, 2003) 1.003 !!.!"#!!…”

Section: Planta Realmentioning

confidence: 99%

Identificación de sistemas de primer y segundo orden mediante control basado en reset

Zaragoza

Sánchez

Baños

2020

Rev. iberoam. autom. inform. ind.

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“…In control theory, the lower order time-delayed system modeling of unknown processes having significant time delays or slower dynamics is preferred to design and tune suitable controllers based on these models [8]- [10]. It is observed that the time-delay introduces non-linearity in the cost function, which is required to be optimized for its estimation.…”

Section: List Of Symbolsmentioning

confidence: 99%

A Novel Iterative System Identification and Modeling Scheme With Simultaneous Time-Delay and Rational Parameter Estimation

Sharma

Padhy

2020

IEEE Access

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In this work, a new method is proposed to identify systems in the form of first and secondorder continuous time-delayed (CTD) models where time-delay and rational parameters are estimated simultaneously. The time delay is explicitly brought into system parameters by discretizing the CTD models. The sampled input-output data from the system is used in an iterative prediction error minimization (PEM) algorithm to identify the discrete-time delayed (DTD) model from which the equivalent CTD model is extracted. The DTD model includes the fractional and integer part of time-delay, where the phase contribution due to the fractional part is used to correct the estimation of delay as well as the termination of the algorithm until the phase contribution lies within one sample time. The efficacy of the proposed method is demonstrated by the simulation study with noisy measurements for four different systems along with the experimental validation.

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“…If the system response to the signal from the relay reaches the maximum permissible value (Figure 3b), then, an integrating type will be assigned to such plant model. If the new steady state of the controlled value reaches a level lower than the maximum allowed, the condition has therefore been fulfilled ( Figure 3a) y max >y st2 (13) then, this element will be qualified for use by the oscillatory plants. Figure 3…”

Section: Choice Of the Model Typementioning

confidence: 99%