Modelling Relay Responses for Multivariable Processes

Selvakumar, C.; Panda, Rames C.

doi:10.1080/00194506.2010.547766

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Koo et al (2004) suggested a method of identifying process models while multiloop control systems are being tuned with the relay feedback sequential autotuning method. Selvakumar and Panda (2010) derived analytical expression for relay response (in time domain) of off-diagonal closed-loop (decentralized) transfer function by approximating the denominator dead-time using Pade's method. 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.…”

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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Section: Introductionmentioning

confidence: 99%

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

Sujatha¹,

Panda²

2013

JMSIC

Self Cite

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Parameter estimation using relay feedback

Dharmalingam

Thangavelu

2018

Reviews in Chemical Engineering

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Abstract In process industries, closed-loop step and closed-loop relay feedback tests are popularly used for estimating model parameters. In this paper, different methods available in the literature for parameter estimation using conventional techniques and techniques based on relay feedback test are surveyed by reviewing around 152 research articles published during the past three decades. Through a comprehensive survey of available literature, the parameter estimation methods are classified into two broad groups, namely conventional techniques and relay-based parametric estimation techniques. These relay-based techniques are further classified into two subgroups, namely single-input-single-output (SISO) systems and multi-input-multi-output systems (both square and nonsquare), and are revealed in a lucid manner with the help of benchmark examples and case studies. For the above categorized methods, the procedural steps involved in relay-based parametric estimation methods are also presented. To facilitate the readers, comparison tables are included to comprehend the results of different parametric estimation techniques available in the literature. The incorporation of quantitative and qualitative analysis of papers published in various journals in the above area with the help of pie charts and graphs would enable the readers to grasp the overview of the research activity being carried out in the relay feedback domain. At the end, the challenging issues in relay-based parametric estimation methods and the directions for future investigations that can be explored are also highlighted.

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Modelling Relay Responses for Multivariable Processes

Cited by 2 publications

References 11 publications

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

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

Parameter estimation using relay feedback

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