Optimization as a tool for design/control integration

Perkins, John D.; Walsh, Stephen

doi:10.1016/0098-1354(95)00022-4

Cited by 70 publications

(31 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reviews of these methods have been published. 86,87 Approaches for optimization problems are discussed in many papers. [88][89][90] In this section, brief introductions are given.…”

Section: Controllability Analysis For Nonlinear Processesmentioning

confidence: 99%

An overview on controllability analysis of chemical processes

2011

View full text Add to dashboard Cite

Controllability is one of the most important aspects of chemical process operability, because it can be used to assess the attainable operation of a given process and improve its dynamic performance. The purpose of this article is to outline the main methodologies that have been developed to deal with the assessment of process controllability and the improvement of its controllability characteristics. Several existing controllability assessment methods are reviewed and discussed. For improving the controllability characteristic of a process, there are two main design methods: the optimization-based method and the controllability indices-based anticipating sequential method. Advantages and disadvantages of these techniques are discussed. It has been emphasized that bifurcation analysis, as a powerful nonlinear analysis tool, could provide important guidance for making processes more controllable by eliminating or avoiding some undesirable behaviors of processes. Further challenges and developments in the field of process controllability are identified.

show abstract

“…Reviews of these methods have been published. 86,87 Approaches for optimization problems are discussed in many papers. [88][89][90] In this section, brief introductions are given.…”

Section: Controllability Analysis For Nonlinear Processesmentioning

confidence: 99%

An overview on controllability analysis of chemical processes

2011

View full text Add to dashboard Cite

show abstract

“…The effect of external disturbances and model uncertainties seems to have been a major concern in this field as several approaches have been suggested. Ricardez-Sandoval and co-authors (2009) list approaches such as dynamic worst-case-based design (Perkins and Walsh, 1996), matrix norms (Mohideen et al, 1997), parametric programming (Sakizlis et al, 2004), and the concept of back-off (Bahri et al, 1997). All dynamic optimization-based approaches suffer from high computational load.…”

Section: Integrated Process and Control Designmentioning

confidence: 99%

Identification of process bottlenecks with global sensitivity analysis, an application to papermaking processes

Savolainen

Lappalainen

2015

Nordic Pulp &Amp; Paper Research Journal

View full text Add to dashboard Cite

“…A detailed survey of important contributions can be found in Sakizlis et al, while Table presents some of very recent work in this area. An important trend that has emerged from the past studies is the wide acceptance of optimization‐based method and their applications to various systems such as distillation columns, CSTRs, and systems represented by reduced models . Normally, the application of optimization‐based approaches to inherently dynamic and highly nonlinear system like PSA still remains a challenging task.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Control of Pressure Swing Adsorption Processes Under Uncertainty

Khajuria

Pistikopoulos

2012

AIChE Journal

View full text Add to dashboard Cite

in Wiley Online Library (wileyonlinelibrary.com).The real-time periodic performance of a pressure swing adsorption (PSA) system strongly depends on the choice of key decision variables and operational considerations such as processing steps and column pressure temporal profiles, making its design and operation a challenging task. This work presents a detailed optimization-based approach for simultaneously incorporating PSA design, operational, and control aspects under the effect of time variant and invariant disturbances. It is applied to a two-bed, six-step PSA system represented by a rigorous mathematical model, where the key optimization objective is to maximize the expected H 2 recovery while achieving a closed loop product H 2 purity of 99.99%, for separating 70% H 2 , 30% CH 4 feed. The benefits over sequential design and control approach are shown in terms of closed-loop recovery improvement of more than 3%, while the incorporation of explicit/multiparametric model predictive controllers improves the closed loop performance.

show abstract

Optimization as a tool for design/control integration

Cited by 70 publications

References 8 publications

An overview on controllability analysis of chemical processes

An overview on controllability analysis of chemical processes

Identification of process bottlenecks with global sensitivity analysis, an application to papermaking processes

Optimization and Control of Pressure Swing Adsorption Processes Under Uncertainty

Contact Info

Product

Resources

About