TY - GEN
T1 - PRBS based identification and conditional control for an optimal operation of a pilot plant binary distillation column
AU - Yadav, Eadala Sarath
AU - Indiran, Thirunavukkarasu
PY - 2019/4
Y1 - 2019/4
N2 - Input signal design is a crucial part in data driven based system identification. Input is set to excite in such a way that the effect of output should be larger than those responses caused by sensor noise. Input signal generation should contain amplitude, rate of input change (Frequency), bias and variance. One such signal is Pseudo Random Binary Sequence (PRBS) input signal. This papers deals with the system identification of a binary distillation column with temperature as variable of interest, heater voltage and reflux flow rate as its manipulated inputs. Based on the requirement of manipulated input, conditional switch is assigned such that manipulated inputs (Heater and Reflux) switches as a function of error. It is observed that this approach improves the system performance and reduces the operational cost. Result depicts the efficiency of the methodology and control loop structure.
AB - Input signal design is a crucial part in data driven based system identification. Input is set to excite in such a way that the effect of output should be larger than those responses caused by sensor noise. Input signal generation should contain amplitude, rate of input change (Frequency), bias and variance. One such signal is Pseudo Random Binary Sequence (PRBS) input signal. This papers deals with the system identification of a binary distillation column with temperature as variable of interest, heater voltage and reflux flow rate as its manipulated inputs. Based on the requirement of manipulated input, conditional switch is assigned such that manipulated inputs (Heater and Reflux) switches as a function of error. It is observed that this approach improves the system performance and reduces the operational cost. Result depicts the efficiency of the methodology and control loop structure.
UR - https://www.scopus.com/pages/publications/85074981080
UR - https://www.scopus.com/pages/publications/85074981080#tab=citedBy
U2 - 10.1109/ICMSAO.2019.8880422
DO - 10.1109/ICMSAO.2019.8880422
M3 - Conference contribution
T3 - 2019 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019
BT - 2019 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Modeling Simulation and Applied Optimization, ICMSAO 2019
Y2 - 15 April 2019 through 17 April 2019
ER -