Control of grade transitions in distributed chemical reactor networks—An agent-based approach

Tetiker, M. Derya; Artel, Arsun; Teymour, Fouad; Çınar, Ali

doi:10.1016/j.compchemeng.2008.02.008

Cited by 24 publications

(15 citation statements)

References 8 publications

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“…Comprehensive reviews summarizing developments in the area of distributed control, especially in the context of MPC, can be found in [38][39][40]. Advances have been made in the context of algorithm development to guarantee closed-loop feasibility, stability and optimality [41][42][43][44][45][46][47][48][49], communication architectures and issues [50][51][52][53][54][55][56][57][58][59], cooperative MPC formulations that utilize a global objective function [60][61][62][63][64][65] and agent-based approaches [66][67][68][69]. An open problem in this area despite some recent progress is the systematic decomposition of the integrated system into the distributed architecture [70][71][72][73].…”

Section: Process Integrationmentioning

confidence: 99%

Sustainability and process control: A survey and perspective

Daoutidis

Zachar

Jogwar

2016

Journal of Process Control

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Section: Process Integrationmentioning

confidence: 99%

Sustainability and process control: A survey and perspective

Daoutidis

Zachar

Jogwar

2016

Journal of Process Control

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“…However, the potential to use the multi-agent approach as global optimization strategy has been limited to small benchmark problems. In process systems engineering, agent-based systems are proposed for conceptual design (Han et al 1995), supply chain management (Julka et al 2002a, Julka et al 2002b, Mele et al 2007, and controller design (Tatara et al 2005, Tetiker et al 2008).…”

Section: Literature Review and Description Of Multi-agent Optimizationmentioning

confidence: 99%

Homogenous multi-agent optimization for process systems engineering problems with a case study of computer aided molecular design

Gebreslassie

Diwekar

2017

Chemical Engineering Science

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In this paper, we propose a novel homogenous multi-agent optimization (HMAO) framework for optimal design of large scale process system engineering problems. The platform is validated using a benchmark problems and a computer-aided molecular design (CAMD) problem. The molecular design problem is a solvent selection problem and it is formulated as a mixed integer nonlinear programming (MINLP) in which solute distribution coefficient of a candidate solvent is maximized subject to structural feasibility, thermodynamic property and process constraints. The model simultaneously determines the optimal decisions that include the size and the functional groups of the candidate solvents. In developing the HMAO framework, multiple efficient ant colony optimization (EACO) algorithms are considered as distinct algorithmic agents. We illustrate this approach through a real world case study of the optimal design of solvent for extraction of acetic acid from waste process stream using liquid-liquid extraction. The UNIFAC model based on the infinite dilution activity coefficient is used to estimate the mixture properties. The results show that quality of the objective function and the computational efficiencies are improved by a factor ranged from 1.475 to 4.137. The new solvents proposed in this work are with much better targeted thermodynamic properties compared to the solvents proposed so far in previous studies.

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“…Control and supervision of such large-scale systems are fundamental problems that encompass a host of theoretical and practical challenges. These problems have received significant attention in process control over the past few decades and have motivated many research studies on the analysis and design of distributed and supervisory control systems for process networks (see, for example, Lunze, 1992;Cui, 2002;Jillson and Ydsite, 2007;Tetiker et al, 2008;Jogwar et al, 2009;Stewart et al, 2011;Christofides et al, 2011 for some results and references in this area). In addition to these advances, research efforts within process control have recently begun to address the new challenges emerging from the integration of networked control systems in process operations.…”

Section: Introductionmentioning

confidence: 99%

Distributed data-based fault identification and accommodation in networked process systems

Peng

El‐Farra

Geng

et al. 2015

Chemical Engineering Science

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A methodology for the design and analysis of networked plant-wide fault-tolerant control systems for large-scale process systems is presented. Resource-aware quasi-decentralized networked control balances the tradeoff between the stability and communication requirements. Distributed optimization-based fault identification using sampled data allows timely on-line estimation of the fault magnitude and its location. A fault accommodation algorithm that determines the appropriate fault compensation measure based on the plant's stability region is presented. The results are applied via simulations to a reactor-separator process network. a b s t r a c tThis paper presents a data-based framework for distributed actuator fault identification and accommodation in networked process systems controlled over a resource-constrained communication medium. Initially, a quasi-decentralized networked control structure is designed to stabilize the plant in the absence of faults. The structure consists of a set of local model-based control systems that communicate with one another at discrete times. An explicit characterization of the networked closedloop stability region is obtained in terms of the update period, the accuracy of the models, and the choice of controller design parameters. To address the actuator fault identification problem, a set of local fault diagnosis agents are designed and embedded within the various subsystems. Each agent uses a movinghorizon parameter estimation scheme to estimate on-line the size and location of the local faults using the locally sampled states and the model state estimates for the interconnected units. Potential discrepancies or ambiguities in the local fault diagnosis results, which may be caused by the strong dynamic coupling between the individual subsystems and the presence of plant-model mismatch, are reconciled by means of a fault estimation confidence interval which is obtained by analyzing the networked closed-loop dynamics at update times. Once the locations and magnitudes of the actuator faults are identified, the resulting estimates are transmitted to a higher-level supervisor to select and implement a suitable fault accommodation strategy. A number of stability-preserving fault accommodation strategies are devised, including updating the post-fault models, adjusting the controllers' parameters, or a combination of both. The selection of the appropriate fault accommodation strategy is made on the basis of the estimated fault magnitude and the characterization of the networked closedloop stability region. Finally, the developed methodology is illustrated using a reactor-separator process example subject to both sudden and incipient control actuator faults.

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Control of grade transitions in distributed chemical reactor networks—An agent-based approach

Cited by 24 publications

References 8 publications

Sustainability and process control: A survey and perspective

Sustainability and process control: A survey and perspective

Homogenous multi-agent optimization for process systems engineering problems with a case study of computer aided molecular design

Distributed data-based fault identification and accommodation in networked process systems

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