Relay Feedback Response Based Identification of Linear 2-by-2 Mimo System

Sujatha, V.; Panda, Rames C.

doi:10.2316/journal.201.2013.2.201-2420

Cited by 2 publications

(2 citation statements)

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“…The parameters of nonlinear chemical processes are estimated as given in Sujatha et al (2013a) by formulating and applying the following boundary conditions to equations (27) and (28).…”

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

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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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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“…The parameters of nonlinear chemical processes are estimated as given in Sujatha et al (2013a) by formulating and applying the following boundary conditions to equations (27) and (28).…”

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

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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“…Most of these above-mentioned methods are limited to SISO techniques, and none of them use information from off-diagonal elements to identify process parameters. Recently, Sujatha and Panda (2012) output pairs derived the relay response model for the 2x2 multivariable system. As the load disturbances drive the system away from its desired behavior, responses are defined as undesired responses.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Parameter for Disturbance Model of 3-by-3 MIMO Process Using Relay Feedback Test

Sujatha¹,

Panda²

2013

JMSIC

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Ideal and biased relays are used to obtain input/output responses from unknown process systems of 3-by-3 Multiple-Input Multiple-Output (MIMO) nature with component transfer functions of first-order-plus-deadtime (FOPDT) (D/ <1) type. To characterize these responses through modeling, a systematic approach is followed to derive analytical expressions for these relay feedback responses. Unknown system parameters are identified using limit cycle data of undesirable relay response curves obtained from single relay feedback test on a linear 3-by-3 MIMO process. Time domain analytical expressions of these monotonic response curves are used to accurately derive boundary conditions and an estimation algorithm for 3-by-3 MIMO process (distillation).

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Relay Feedback Response Based Identification of Linear 2-by-2 Mimo System

Cited by 2 publications

References 0 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

Estimation of Parameter for Disturbance Model of 3-by-3 MIMO Process Using Relay Feedback Test

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