TY - GEN
T1 - System identification for a liquid flow process
AU - Araydah, Walaa
AU - Tutunji, Tarek A.
AU - Al-Naimi, Ibrahim
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Fluid process systems are usually difficult to model because they contain certain nonlinearities and have difficulties to measure several parameters. Therefore, experimental modeling, using measured data, is an appropriate modeling technique for such systems. In this paper, a mathematical model for a FESTO Process Workstation is developed using system identification procedures to formulate the transfer function between the pump voltage and the output flowrate. Input and output data sets are collected from the physical plant, using PC interface with FESTO FluidLAb PA software package. System Identification (SysID) Toolbox in MATLAB is used to formulate several structure models, with different orders, to capture the system's dynamic behavior. The models are tested, validated, and compared using several data sets. The best fit model is selected to represent the liquid process system.
AB - Fluid process systems are usually difficult to model because they contain certain nonlinearities and have difficulties to measure several parameters. Therefore, experimental modeling, using measured data, is an appropriate modeling technique for such systems. In this paper, a mathematical model for a FESTO Process Workstation is developed using system identification procedures to formulate the transfer function between the pump voltage and the output flowrate. Input and output data sets are collected from the physical plant, using PC interface with FESTO FluidLAb PA software package. System Identification (SysID) Toolbox in MATLAB is used to formulate several structure models, with different orders, to capture the system's dynamic behavior. The models are tested, validated, and compared using several data sets. The best fit model is selected to represent the liquid process system.
KW - Flow control
KW - Liquid process system
KW - Parametric models
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=85049073221&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85049073221&partnerID=8YFLogxK
U2 - 10.1109/AEECT.2017.8257756
DO - 10.1109/AEECT.2017.8257756
M3 - Conference contribution
AN - SCOPUS:85049073221
T3 - 2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2017
SP - 1
EP - 6
BT - 2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2017
A2 - Al-Oqily, Ibrahim
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Smart Grid Conference, SGC 2017
Y2 - 20 December 2017 through 21 December 2017
ER -