TY  - JOUR
N2  - The profitability of chemical processes depends on their design and control. If the process design is fixed, there is little room left to improve control performance. Many commentators suggest design and control should be integrated. Nevertheless, the integrated problem is highly complex and intractable. This article proposes an optimization framework using a dynamic inversely controlled process model. The combinatorial complexities associated with the controllers are disentangled from the formulation, but the process and its control structure are still designed simultaneously. The new framework utilizes a multi-objective function to explore the trade-off between process and control objectives. The proposed optimization framework is demonstrated on a case study from the literature. Two parallel solving strategies are applied, and their implementations are explained. They are dynamic optimization based on (i) sequential integration and (ii) full discretization. The proposed integrated design and control optimization framework successfully captured the trade-off between control and process objectives.
UR  - http://dx.doi.org/10.1016/j.compchemeng.2012.08.009
ID  - discovery10023913
Y1  - 2013/01/10/
JF  - Computers & Chemical Engineering
PB  - PERGAMON-ELSEVIER SCIENCE LTD
A1  - Sharifzadeh, M
A1  - Thornhill, NF
VL  - 48
SP  - 121
EP  - 134
SN  - 1873-4375
TI  - Integrated design and control using a dynamic inversely controlled process model
AV  - public
KW  - Integrated design and control of chemical processes
KW  -  Stochastic mixed-integer dynamic programming
KW  -  Control structure selection
KW  -  Multi-objective optimization
KW  -  MULTIVARIABLE NONLINEAR PROCESSES
KW  -  OUTPUT-FEEDBACK CONTROL
KW  -  FLEXIBILITY ANALYSIS
KW  -  PLANTWIDE CONTROL
KW  -  CHEMICAL-PLANTS
KW  -  CONTROL-SYSTEMS
KW  -  OPTIMIZATION
KW  -  CONTROLLABILITY
KW  -  SELECTION
KW  -  PERSPECTIVE
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ER  -