TY - JOUR
T1 - PRBS based model identification and GPC PID control design for MIMO Process
AU - Yadav, Eadala Sarath
AU - Indiran, Thirunavukkarasu
N1 - Publisher Copyright:
© 2019 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advanced Materials, Energy & Environmental Sustainability, ICAMEES2018
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85070955355&partnerID=8YFLogxK
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U2 - 10.1016/j.matpr.2019.06.396
DO - 10.1016/j.matpr.2019.06.396
M3 - Conference article
AN - SCOPUS:85070955355
SN - 2214-7853
VL - 17
SP - 16
EP - 25
JO - Materials Today: Proceedings
JF - Materials Today: Proceedings
T2 - 2018 International Conference on Advanced Materials, Energy Environmental Sustainability, ICAMEES 2018
Y2 - 14 December 2018 through 15 December 2018
ER -