DocumentCode
3358825
Title
Application of nonlinear model predictive control in continuous crystallization systems
Author
Yang Yang ; Nagy, Zoltan K.
Author_Institution
Purdue Univ., West Lafayette, IN, USA
fYear
2015
fDate
1-3 July 2015
Firstpage
4282
Lastpage
4287
Abstract
Continuous crystallizers have great advantages on crystal quality consistency and process efficiency. In this study, a continuous two stage mixed suspension mixed product removal (MSMPR) cascade crystallizer is modeled using population balance model (PBM), with both cooling and antisolvent addition applied to generate supersaturation. The application of nonlinear model predictive control (NMPC) is discussed considering both yield and crystal size as objectives.
Keywords
cooling; crystallisation; crystallisers; nonlinear control systems; predictive control; quality control; suspensions; NMPC; PBM; antisolvent addition; continuous crystallization systems; continuous crystallizers; continuous two-stage MSMPR cascade crystallizer; cooling; crystal quality consistency; crystal size; mixed suspension mixed product removal cascade crystallizer; nonlinear model predictive control; population balance model; process efficiency; supersaturation; Crystallization; Crystallizers; Input variables; Mathematical model; Predictive control; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2015
Conference_Location
Chicago, IL
Print_ISBN
978-1-4799-8685-9
Type
conf
DOI
10.1109/ACC.2015.7172002
Filename
7172002
Link To Document