TY - JOUR
T1 - Control of a two-stage mixed suspension mixed product removal crystallizer⁎
AU - Porru, M.
AU - Ozkan, L.
PY - 2018/7
Y1 - 2018/7
N2 - In this work, we consider the problem of controlling a two-stage cooling mixed suspension mixed product removal (MSMPR) crystallizer. For this process, the temperature in the first crystallizer is manipulated for controlling the average crystal dimension (d43), while it is desired to maintain the temperature of the second crystallizer at the minimum allowed value to guarantee maximum yield. Due to system nonlinearities and process delays, the performance of traditional PID controllers are poor. A control scheme is proposed to improve the closed loop performance and achieve desired control objectives. The control scheme is based on the coupling of a PI controller and a model-based nonlinear prediction block that serves as delay and disturbance compensator. The proposed scheme has been tested on the system in case of disturbances in the feed concentration, with and without measurement errors. It is observed that the proposed scheme outperforms the PI controller by reducing the output response settling time and overshoot.
AB - In this work, we consider the problem of controlling a two-stage cooling mixed suspension mixed product removal (MSMPR) crystallizer. For this process, the temperature in the first crystallizer is manipulated for controlling the average crystal dimension (d43), while it is desired to maintain the temperature of the second crystallizer at the minimum allowed value to guarantee maximum yield. Due to system nonlinearities and process delays, the performance of traditional PID controllers are poor. A control scheme is proposed to improve the closed loop performance and achieve desired control objectives. The control scheme is based on the coupling of a PI controller and a model-based nonlinear prediction block that serves as delay and disturbance compensator. The proposed scheme has been tested on the system in case of disturbances in the feed concentration, with and without measurement errors. It is observed that the proposed scheme outperforms the PI controller by reducing the output response settling time and overshoot.
KW - Model-based control
KW - Nonlinear delay compensation
KW - Series of MSMPR crystallisers
UR - http://www.scopus.com/inward/record.url?scp=85054424757&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2018.09.231
DO - 10.1016/j.ifacol.2018.09.231
M3 - Conference article
AN - SCOPUS:85054424757
SN - 2405-8963
VL - 51
SP - 898
EP - 903
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 18
T2 - 10th IFAC Symposium on Advanced Control of Chemical Processes<br/>
Y2 - 25 July 2018 through 27 July 2018
ER -