Identification of Centralised Controlled Multivariable Systems

Ram, V. Dhanya; Chidambaram, M.

doi:10.1080/00194506.2015.1029285

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Besides relay test, some alternative techniques have been reported to identify TITO processes. Say for example, applied source separation method (Broman et al, 1999), curve fitting and genetic algorithm based method (Viswanathan et al, 2001), a closed-loop reaction curve method (Ram & Chidambaram, 2014) and non-linear least square minimisation method (Ram & Chidambaram, 2016) have been well explained in literature. A commonly adopted technique using step response data was developed for parameter identification with a sequence of setpoint step signals (S.-Y.…”

Section: Introductionmentioning

confidence: 99%

Fractional-order two-input two-output process identification based on Haar operational matrix

Kothari

Mehta

2020

International Journal of Systems Science

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The identification of multi-input-multi-output process is always challenging due to significant loop interactions. This article proposes an identification technique for two-input-two-output processes with fractional order models via Haar wavelet feature. The presented technique can estimate independent four fractional single-pole time delay models without additional steps to decouple processes during identification. The method uses a well-known relay feedback test to produce the input-output data for measurements. Then, the Haar wavelet operational matrix based algebraic approach is utilised to identify the unknown process models with reduced complexity. Numerical analysis on various examples show the efficacy even in presence of noise and without additional filter or preprocessing of measured signals. The comparative study proves advantages of the presented approach.

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Section: Introductionmentioning

confidence: 99%

Fractional-order two-input two-output process identification based on Haar operational matrix

Kothari

Mehta

2020

International Journal of Systems Science

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Simple method of identifying model parameters for centralized controlled multivariable systems

Haritha¹,

Ram²

2021

International Conference on Computational Sciences-Modelling, Computing and Soft Computing (Csmcs 2020)

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A single-step identification strategy for the coupled TITO process using fractional calculus

Kothari

Mehta

Prasad

2021

Transactions of the Institute of Measurement and Control

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The reliable performance of a complete control system depends on accurate model information being used to represent each subsystem. The identification and modelling of multivariable systems are complex and challenging due to cross-coupling. Such a system may require multiple steps and decentralized testing to obtain full system models effectively. In this paper, a direct identification strategy is proposed for the coupled two-input two-output (TITO) system with measurable input–output signals. A well-known closed-loop relay test is utilized to generate a set of inputs–outputs data from a single run. Based on the collected data, four individual fractional-order transfer functions, two for main paths and two for cross-paths, are estimated from single-run test signals. The orthogonal series-based algebraic approach is adopted, namely the Haar wavelet operational matrix, to handle the fractional derivatives of the signal in a simple manner. A single-step strategy yields faster identification with accurate estimation. The simulation and experimental studies depict the efficiency and applicability of the proposed identification technique. The demonstrated results on the twin rotor multiple-input multiple-output (MIMO) system (TRMS) clearly reveal that the presented idea works well with the highly coupled system even in the presence of measurement noise.

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Identification of Centralised Controlled Multivariable Systems

Cited by 3 publications

References 12 publications

Fractional-order two-input two-output process identification based on Haar operational matrix

Fractional-order two-input two-output process identification based on Haar operational matrix

Simple method of identifying model parameters for centralized controlled multivariable systems

A single-step identification strategy for the coupled TITO process using fractional calculus

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