Plantwide Control System Design: Extension to Multiple-Forcing and Multiple-Steady-State Operation

Chen, Rong; McAvoy, Thomas J.; Zafiriou, Evanghelos

doi:10.1021/ie034015s

Cited by 11 publications

(14 citation statements)

References 9 publications

(19 reference statements)

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“…Interactions between the process units are often the main causes of operability problems. As such, it is important to develop appropriate tools to quantitatively assess the effects of nonlinear dynamics of process units and the interactions between them on plant‐wide operability 3. In the past two decades, a number of operability analysis tools have been reported.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed approach can also be used to determine suitable control structures for plant‐wide control, which has been deemed a key issue related to plant‐wide control of complex processing plants 3, 22–24. The answer is closely related to the specification of explicit and implicit production and operational objectives for the processing plant 23.…”

Section: Introductionmentioning

confidence: 99%

“…A formal statement of the problem requires the formulation of a multi‐objective optimization problem which, in turn, is very difficult to solve owing to its inherent complexity 23. In practice, plant‐wide control is addressed by adopting a hierarchical design procedure so that the design problem can be decomposed into several stages that are simpler to analyze and solve 3. The framework described in this article is useful for assessing the operability properties of the network for a given selection of controlled and manipulated variables.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic operability analysis of nonlinear process networks based on dissipativity

et al. 2009

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Most modern chemical plants are complex networks of multiple interconnected nonlinear process units, often with multiple recycle and by-pass streams and energy integration. Interactions between process units often lead to plant-wide operability problems (i.e., difficulties in process control). Plant-wide operability analysis is often difficult due to the complexity and nonlinearity of the processes. This article provides a new framework of dynamic operability analysis for plant-wide processes, based on the dissipativity of each process unit and the topology of the process network. Based on the concept of dissipative systems, this approach can deal with nonlinear processes directly. Developed from a network perspective, the proposed framework is also inherently scalable and thus can be applied to large process networks. V V C 2009 American Institute of Chemical Engineers AIChE J, 55: [963][964][965][966][967][968][969][970][971][972][973][974][975][976][977][978][979][980][981][982] 2009 Keywords: plant-wide control, nonlinear systems, process networks, process operability IntroductionProcess control has been playing an increasingly important role in the process industries as more process integration and tighter operating conditions are putting greater demands on control system performance. The traditional approach to process design and control has been to perform the design of the process and the control system sequentially.1 As little consideration is given to dynamic operability in the process design stage, the outcome of this approach sometimes is a plant whose dynamic characteristics lead to serious operating difficulties associated with significant economic penalties.2 It is well known that a process design fundamentally determines the inherent operability properties of the process since it imposes limitations on control performance regardless of what control method is implemented. Therefore, process operability analysis should be performed in the process design stage for better integration of process design and control. 1 Modern chemical plants have two important features: (1) they are networks of significant number of process units with recycle and heat integration configurations; (2) process units are generally nonlinear. Interactions between the process units are often the main causes of operability problems. As such, it is important to develop appropriate tools to quantitatively assess the effects of nonlinear dynamics of process units and the interactions between them on plant-wide operability. 3 In the past two decades, a number of operability analysis tools have been reported. Many of these were developed for linear processes, based on, e.g., process zero dynamics, minimum singular values and loop interactions. [4][5][6] For nonlinear processes, a direct approach to operability analysis is to solve a dynamic performance optimisation problem numerically. Although this approach allows seamless integration of process and control design, 6-9 the complexity of the resulting problem grows quickly with t...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic operability analysis of nonlinear process networks based on dissipativity

et al. 2009

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“…A large number of contributions on plant-wide controllability analysis have been published, focusing on these problems. [188][189][190][191][192][193][194][195][196][197][198][199][200] Skogestad gave an excellent review and discussion of the design of a plant-wide control system and the concept of self-optimizing control. [201][202][203][204][205] Therefore, in this section, a brief discussion and an outline of recent progress will be given as follows.…”

Section: Sequential Design Methods For Improving the Plant-wide Contromentioning

confidence: 99%

An overview on controllability analysis of chemical processes

2011

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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.

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“…Challenge (Downs & Vogel, 1993) and (Bathelt, et al, 2015) (revised and extended version) (McAvoy & Ye, 1994), (Price, et al, 1994), (Lyman & Georgakis, 1995), (Ye, et al, 1995), (Ricker & Lee, 1995), (Banerjee & Arkun, 1995), (Baughman & Liu, 1995), (Luyben & Luyben, 1995), (McAvoy, et al, 1996), (Ricker, 1996), (Luyben, et al, 1997), (Luyben, et al, 1998), (Tyreus, 1998), (McAvoy, 1999), (Larsson & Skogestad, 2000), (Stephanopoulos & Ng, 2000), (Kookos & Perkins, 2001), (Wang & McAvoy, 2001), , (Jockenhövel, et al, 2003), (Cheng, et al, 2004), (Tian & Hoo, 2005), (Antelo, et al, 2008), (Molina, et al, 2011).…”

Section: Process Authors (Proposers) Authors (Appliers)mentioning

confidence: 99%

Plantwide control: a review and proposal of an augmented hierarchical plantwide control design technique.

Godoy¹

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The problem of designing control systems for entire plants is studied. A review of previous works, available techniques and current research challenges is presented, followed by the description of some theoretical tools to improve plantwide control, including the proposal of an augmented lexicographic multi-objective optimization procedure. With these, an augmented hierarchical plantwide control design technique and an optimal multi-objective technique for integrated control structure selection and controller tuning are proposed. The main contributions of these proposed techniques are the inclusion of system identification and optimal control tuning as part of the plantwide design procedure for improved results, support to multi-objective control specifications and support to any type of plant and controllers. Finally, the proposed techniques are applied to industrial benchmarks to demonstrate and validate its applicability.

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Plantwide Control System Design: Extension to Multiple-Forcing and Multiple-Steady-State Operation

Cited by 11 publications

References 9 publications

Dynamic operability analysis of nonlinear process networks based on dissipativity

Dynamic operability analysis of nonlinear process networks based on dissipativity

An overview on controllability analysis of chemical processes

Plantwide control: a review and proposal of an augmented hierarchical plantwide control design technique.

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