Relay feedback‐based time domain modelling of off‐diagonal elements of linear 2‐by‐2 MIMO systems

Sujatha, V.; Panda, Rames C.

doi:10.1002/cjce.21654

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…The procedure for obtaining mathematical model of MIMO systems are explained in detail by Sujatha and Panda (2012). The ideal relay response for equation (14) is assumed to be formed by n-number of small step changes.…”

Section: Modeling and Validation For Non-linear Chemical Processes Usmentioning

confidence: 99%

“…The method has been applied to example with right half plane zero as given in the literature by Sarma and Chidambaram (2005). Further for two input two output system modelling and parameter estimation was proposed by Sujatha and Panda (2012). Sujatha and Panda (2013b) derived the novel method of interaction measure to select the proper input-output pairs.…”

Section: Introductionmentioning

confidence: 99%

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Time domain modeling and control of complex non-linear chemical processes using relay feedback test

Sujatha

Panda

2020

Transactions of the Institute of Measurement and Control

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This study analyzes with the technology of auto tuning using relay feedback test for non-square MIMO system through process modeling, identification, input-output pairing and control strategies. However, the control configuration selection based on conventional steady-state Relative Gain Array (RGA) matrix sometimes degrades the loop performance and it needs attention. This study also deals with the real challenges in time domain modeling and appropriate pairing of loops for non-linear chemical processes. The choice of input-output pairing for square system has been extended to non-linear chemical processes. This ensures the system’s stability by selecting an appropriate manipulated-controlled variable pairing in non-linear chemical processes and the same is also tested for benchmark of non-linear chemical processes. In this study, two types of non-square systems are considered: one is systems with excess input than output variables and the other is systems with excess output than input variables. Some benchmark non-linear chemical processes, such as processes with mild nonlinearity, moderate to high nonlinearity and highly nonlinearity, are also taken for this study. Three standard benchmark processes are used in analysis of nonlinear chemical processes, namely: (1) Continuous Stirred Tank Reactor (CSTR) process; (2) hydrogen-ion- concentration (pH) process and (3) distillation column and this procedure is illustrated via simulation of 3-by-2 and 2-by-3 non-linear chemical processes.

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Section: Modeling and Validation For Non-linear Chemical Processes Usmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Time domain modeling and control of complex non-linear chemical processes using relay feedback test

Sujatha

Panda

2020

Transactions of the Institute of Measurement and Control

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“…The identification of every element of the transfer matrix consists in exciting only one input, and all element of the matrix is calculated using the Fourier transform (FFT) of the ratio of the cross-correlation between output and input divided by the autocorrelation of the input. Sujatha and Panda et al [13] proposed the modeling of 2-by-2 MIMO systems. Sujatha and Panda et al [14] have derived the analytical expressions for relay response (time domain) of off diagonal closed loop transfer function of 3-by-3 MIMO process and estimated disturbance transfer function model of the system.…”

Section: Introductionmentioning

confidence: 99%

Modeling and control of non-square MIMO system using relay feedback

2015

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“…Relay identification method is very convenient when compared to any other identification method. V. Sujatha and Rames C. Panda [1] presented new technique to model the off-diagonal closed-loop transfer function of 2-by-2 Multi Input Multi Output (MIMO) system in time domain using ideal as well as biased relay feedback tests. Swapnil Nema and Prabin Kumar Padhy [2] modelled two input and two output (TITO) process using hysteresis relay feedback method.…”

Section: Introductionmentioning

confidence: 99%

Online Validation of Relay based Identification and Controller Design with an Anti-Reset Windup for a Binary Distillation Column

Yadav¹,

Thirunavukkarasu²,

Selvanathan³

et al. 2018

IJET

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Sequential auto-tuning based model identification is a closed loop approach, which has an extensive benefit compared to conventional methods because of user defined manipulated gain to the process within the verge of instability. Model parameters estimation of multi input multi output process is challenging because of existence of multivariable interaction among the variables. In this paper ideal relay is used as a sequential basis for binary distillation column in real time. Obtaining sustained oscillations in conventional methods is based on trial and error, benefit of relay is that oscillations can be generated as scaling of user defined gains. Predictive PI contr ol algorithm is implemented. Results depicts the efficiency of methodology and importance of anti-reset term in the algorithm.

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Relay feedback‐based time domain modelling of off‐diagonal elements of linear 2‐by‐2 MIMO systems

Cited by 6 publications

References 13 publications

Time domain modeling and control of complex non-linear chemical processes using relay feedback test

Time domain modeling and control of complex non-linear chemical processes using relay feedback test

Modeling and control of non-square MIMO system using relay feedback

Online Validation of Relay based Identification and Controller Design with an Anti-Reset Windup for a Binary Distillation Column

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