PRBS Based Identification and Conditional Control for an Optimal Operation of a Pilot Plant Binary Distillation Column

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...

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Bibliographic Details
Main Authors: Yadav, Eadala Sarath, Indiran, Thirunavukkarasu
Format: Conference Proceeding
Language:English
Subjects:
amplitude
chest factor
conditional switch
Distillation equipment
frequency
Heating systems
Mathematical model
PRBS
Process control
Skogestads PID
Switches
tray temperature control
Tuning
Uncertainty
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Summary: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.
ISSN:2573-5276
DOI:10.1109/ICMSAO.2019.8880422