PRBS based model identification and GPC PID control design for MIMO Process

Eadala Sarath Yadav, Thirunavukkarasu Indiran

Research output: Contribution to journalConference article

Abstract

This paper expounds the system identification of Multi Input and Multi Output (MIMO) process using Pseudo Random Binary Sequence (PRBS) input signal. Random input signal to the process procures the whole dynamics of the process around desired operating region. Capturing system dynamics using PBRS is more efficient, since it comprises of both positive and negative changes within the input sequence. Besides system modeling, this papers also gives an exposure on PID control design using Generalized Predictive Control (GPC) algorithm. Modeling using PRBS input signal and control design approach using GPC-PID is addressed by considering the case study of experimental MIMO processes. Results depict the efficiency of control design even in plant uncertainty conditions and performance is incorporated.

Original languageEnglish
Pages (from-to)16-25
Number of pages10
JournalMaterials Today: Proceedings
Volume17
DOIs
Publication statusPublished - 01-01-2019
Event2018 International Conference on Advanced Materials, Energy Environmental Sustainability, ICAMEES 2018 - Dehradun, India
Duration: 14-12-201815-12-2018

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Binary sequences
Three term control systems
Identification (control systems)
Dynamical systems

All Science Journal Classification (ASJC) codes

  • Materials Science(all)

Cite this

Yadav, Eadala Sarath ; Indiran, Thirunavukkarasu. / PRBS based model identification and GPC PID control design for MIMO Process. In: Materials Today: Proceedings. 2019 ; Vol. 17. pp. 16-25.
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PRBS based model identification and GPC PID control design for MIMO Process. / Yadav, Eadala Sarath; Indiran, Thirunavukkarasu.

In: Materials Today: Proceedings, Vol. 17, 01.01.2019, p. 16-25.

Research output: Contribution to journalConference article

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