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

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...

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Bibliographic Details
Main Authors: Sarath Yadav, Eadala, Indiran, Thirunavukkarasu
Format: Conference Proceeding
Language:English
Subjects:
Constrained inputs
GPC PID
MIMO Process
Plant uncertainties
PRBS
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Summary: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.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2019.06.396