Batch-to-batch control of particle size distribution in cobalt oxalate synthesis process based on hybrid model

Powder Technology

Volumn 224, Issue , 2012, Pages 253-259

  Zhang, Shuning ^a   Wang, Fuli ^a,b   He, Dakuo ^a,b   Jia, Runda ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

Author keywords

Batch to batch control; Cobalt oxalate synthesis process; Crystallization; Hybrid model; Particle size distribution; Population balance

Indexed keywords

BATCH-TO-BATCH CONTROL; COBALT OXALATE; FIRST PRINCIPLE MODELS; GENERALIZATION CAPABILITY; HYBRID MODEL; HYBRID MODELING; MODEL GENERALIZATION; MODEL PREDICTION; OPERATING POLICIES; PLS MODELS; POPULATION BALANCES; PROCESS PERFORMANCE; SYNTHESIS PROCESS; UNKNOWN DISTURBANCE;

CRYSTALLIZATION; PARTICLE SIZE ANALYSIS;

COBALT;

COBALT OXALATE; OXALIC ACID; UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; BATCH PROCESS; CONTROL STRATEGY; CRYSTALLIZATION; HYBRID; MATHEMATICAL COMPUTING; METALLURGY; PARTICLE SIZE; PREDICTION; PROCESS MODEL; PROCESS OPTIMIZATION; SIMULATION;

EID: 84862802594     PISSN: 00325910     EISSN: 1873328X     Source Type: Journal    
DOI: 10.1016/j.powtec.2012.03.001     Document Type: Article

References (19)

1. Aamir E., Nagy Z.K., Rielly C.D., Kleinert T., Judat B. Combined quadrature method of moments and method of characteristics approach for efficient solution of population balance models for dynamic modeling and crystal size distribution control of crystallization processes. Industrial and Engineering Chemistry Research 2009, 48:8575-8584.
2. Hu Q., Rohani S., Wang D.X., Jutan A. Optimal control of a batch cooling seeded crystallizer. Powder Technology 2005, 156:170-176.
3. Clarke-Pringle T.L., MacGregor J.F. Optimization of molecular-weight distribution using batch-to-batch adjustments. Industrial and Engineering Chemistry Research 1998, 37:3660-3669.
4. Lee J.H., Lee K.S., Kim W.C. Model-based iterative learning control with a quadratic criterion for time-varying linear systems. Automatica 2000, 36:641-657.
5. Park M.J., Dokucu M.T., Doyle F.J. Regulation of the emulsion particle size distribution to an optimal trajectory using partial least squares model-based predictive control. Industrial and Engineering Chemistry Research 2004, 43:7227-7237.
6. Flores-Cerrillo J., MacGregor J.F. Iterative learning control for final batch product quality using partial least squares models. Industrial and Engineering Chemistry Research 2005, 44:9146-9155.
7. Zhang J. Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models. Chemical Engineering Science 2008, 63:1273-1281.
8. Doyle F.J., Harrison C.A., Crowley T.J. Hybrid model-based approach to batch-to-batch control of particle size distribution in emulsion polymerization. Computers and Chemical Engineering 2003, 27:1153-1163.
9. Dokucu M.T., Doyle F.J. Batch-to-batch control of characteristic points on the PSD in experimental emulsion polymerization. AICHE Journal 2008, 54:3171-3187.
10. Fujiwara M., Nagy Z.K., Chew J.W., Braatz R.D. First-principles and direct design approaches for the control of pharmaceutical crystallization. Journal of Process Control 2005, 15:493-504.
11. Costa C.B.B., Costa A.C., Filho R.M. Mathematical modeling and optimal control strategy development for an adipic acid crystallization process. Chemical Engineering and Processing 2005, 44:737-753.
12. Hermanto M.W., Braatz R.D., Chiu M.S. Integrated batch-to-batch and nonlinear model predictive control for polymorphic transformation in pharmaceutical crystallization. AICHE Journal 2011, 57:1008-1019.
13. Puel F., Févotte G., Klein J.P. Simulation and analysis of industrial crystallization processes through multidimensional population balance equations. Part 1: a resolution algorithm based on the method of classes. Chemical Engineering Science 2003, 58:3715-3727.
14. Mesbah A., Landlust J., Huesman A.E.M., Kramer H.J.M., Jansens P.J., Van den Hof P.M.J. A model-based control framework for industrial batch crystallization processes. Chemical Engineering Research and Design 2010, 88:1223-1233.
15. Marchal P., David R., Klein J.P., Villermaux J. Crystallization and precipitation engineering-I. An efficient method for solving population balance in crystallization with agglomeration. Chemical Engineering Science 1988, 43:59-67.
16. Flores-Cerrillo J., MacGregor J.F. Within-batch and batch-to-batch inferential-adaptive control of semibatch reactors: a partial least squares approach. Industrial and Engineering Chemistry Research 2003, 42:3334-3345.
17. Neogi D., Schlags C. Multivariable statistical analysis of an emulsion batch process. Industrial and Engineering Chemistry Research 1998, 37:3971-3979.
18. Lee K., Lee J.H., Yang D.R., Mahoney A.W. Integrated run-to-run and on-line model-based control of particle size distribution for a semi-batch precipitation reactor. Computers and Chemical Engineering 2002, 26:1117-1131.
19. Xiong Z., Zhang J. A batch-to-batch iterative optimal control strategy based on recurrent neural network models. Journal of Process Control 2005, 15:11-21.