Simultaneous design and control optimisation under uncertainty

Bansal, V.; Perkins, John D.; Pistikopoulos, Efstratios N.; Ross, R.; Schijndel, J.M.G. van

doi:10.1016/s0098-1354(00)00475-0

Cited by 103 publications

(72 citation statements)

References 8 publications

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“…These two subproblems are solved Avraam, et al (1998Avraam, et al ( , 1999 and Sharif, et al (1998) applied linearization to construct an MILP master subproblem which was solved using outer approximation (OA) method. By comparison, Mohideen, et al (1997), Schweiger and Floudas, (1997) and Bansal, et al (2000a, 2003 applied dual information and generalized benders decomposition (GBD) algorithm (Geoffrion 1972) to construct the master subproblem. The former method based on outer approximation requires less evaluation of the primal subproblem because its master subproblem gives tighter lower bounds.…”

Section: Simultaneous Optimization Of a Process And Its Controllersmentioning

confidence: 99%

Integration of process design and control: A review

Sharifzadeh

2013

Chemical Engineering Research and Design

115

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There is a large variety of methods in literature for process design and control, which can be classified into two main categories. The methods in the first category have a sequential approach in which, the control system is designed, only after the details of process design are decided. However, when process design is fixed, there is little room left for improving the control performance. Recognizing the interactions between process design and control, the methods in the second category integrate some control aspects into process design. With the aim of providing an exploration map and identifying the potential areas of further contributions, this paper presents a thematic review of the methods for integration of process design and control. The evolution paths of these methods are described and the advantages and disadvantages of each method are explained. The paper concludes with suggestions for future research activities. KeywordsIntegrated design and control, Sequential design and control, Control structure selection, Simultaneous optimization of a process and its controllers, inversely controlled process model, controllability.

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Section: Simultaneous Optimization Of a Process And Its Controllersmentioning

confidence: 99%

Integration of process design and control: A review

Sharifzadeh

2013

Chemical Engineering Research and Design

115

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“…The results showed that the procedure followed was able to accurately drive the system into a user defined set-point as well as e ciently discard the noise in the composition of the liquid phase input. Similar distillation units have been extensively used to demonstrate the interactions between design optimization and control using novel algorithms on mixed-integer design optimization [23,25,26,278,298].…”

Section: Resultsmentioning

confidence: 99%

“…In order to handle the discrete alternatives in the MIDO problem a smooth approximation is used similarly to [21]. According to this a function is used to relax the binary variables to continuous.…”

Section: Mido Formulation -Handling the Discrete Alternativesmentioning

confidence: 99%

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

Diangelakis

Pistikopoulos

2017

Computer Aided Chemical Engineering

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“…The effects of control strategy on the operation feasibility analysis have been discussed for dynamic chemical systems in some articles (Dimitriadis and Pistikopoulos, 1995;Bansal et al, 2000;Sakizlis et al, 2004;Jin et al, 2016). Malcolm et al (2007) applied dynamic flexibility analysis to integrate systems design and control.…”

Section: Introductionmentioning

confidence: 99%

Operation Feasibility Analysis of Chemical Batch Reaction Systems with Production Quality Consideration under Uncertainty

Huang

Yang

Qian

et al. 2017

J. Chem. Eng. Japan / JCEJ

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For ensuring the production quality and operation stability of chemical batch reaction systems under uncertainty, an operation feasibility analysis framework with production quality and exibility consideration is proposed. The whole suitable range and the optimization operation point of the manipulated variable in the reaction systems can be found by using the proposed framework. In the proposed strategy/framework, the Nelder-Mead method is combined with the golden section method to solve the operation feasibility analysis problems. A concept of the Operation Feasibility Index problem (OFI) is also introduced to nd the exact feasible operation range of the manipulated variable for batch reaction systems under uncertainty. The proposed strategy is investigated by two typical batch reaction systems. All the simulation results demonstrate that the proposed approach may provide an e ective tool for the operation feasibility analysis of batch reaction systems under uncertainty.

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Simultaneous design and control optimisation under uncertainty

Cited by 103 publications

References 8 publications

Integration of process design and control: A review

Integration of process design and control: A review

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

Operation Feasibility Analysis of Chemical Batch Reaction Systems with Production Quality Consideration under Uncertainty

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