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检索条件"任意字段=Symposium on Dynamics and Control of Process Systems"

共 1795 条记录，以下是541-550 订阅

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A Pattern-based Method for Scheduling of Energy-integrated Batch process Networks

A Pattern-based Method for Scheduling of Energy-integrated B...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Mete, Shrikant Jogwar, Sujit S. Inst Chem Technol Dept Chem Engn Bombay 400019 Maharashtra India

This paper describes a pattern-based method for the generation of flexible-horizon production schedules for energy-integrated batch systems using a benchmark reactor-distillation system. The proposed methodology consists of structural decomposition of an already existing schedule for a fixed time horizon to identify repetitive patterns. It is found that such a schedule can be divided into three sections - initial, final and an intermediate section- of manipulable sizes. Based on such a decomposition, it is possible to generate an extended (or shorter) horizon schedule by increasing (or decreasing) the sizes of these sections. The proposed method allows for the generation of new schedules without solving mathematically rigorous mixed integer programming problems. The key advantage of the proposed method is the significant reduction ill the time required for solving large scheduling problems, especially for online rescheduling applications. The effectiveness of the proposed methodology is illustrated through the same benchmark scheduling problem. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Heat integration Batch scheduling Batch rescheduling Pattern identification

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Development of Soft Sensors for the Case Where the Time Delay is Random

Development of Soft Sensors for the Case Where the Time Dela...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Shardt, Yuri A. W. Yang, Xu Univ Duishurg Essen North Rhine Westphalia D-47057 Duisburg Germany Beijing Univ Sci & Technol \ Beijing Peoples R China

Time delay and sampling rate are to conditions that can make the design and implementation of soft sensors difficult due limiting the amount of information that can be obtained about the true process. Another wrinkle is the fact that neither of these two parameters is necessarily constant, with the value changing due to changes in the process. One such area of concern is the hot steel mill rolling process, where variable time delay can lead to problems with controlling the process. This paper seeks to examine the appropriate design of the bias update term of the soft sensor in light of variable, but known, time delays for a process operating with constant sampling rate and for both open- and closed-loop conditions. Using a mathematical approach to the problem, the previous results are extended to consider such a case. It is shown that if the process has variable time delay, then designing the bias update term in the soft sensor is very important, as it can have implications for process stability: and trackability. Simulations are included to show the impact of different bias update terms. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Soft sensors time delay closed-loop bias update control

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Software sensor as distributed parameter system for the control of secondary cooling in the continuous casting of steel

Software sensor as distributed parameter system for the cont...

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17th IFAC symposium on control, Optimization and Automation in Mining, Mineral and Metal processing (MMM)

作者： Hulko, G. Ondrejkovic, K. Bucek, P. Bartko, M. FME STU Bratislava Inst Automat Measurement & Appl Informat Nam Slobody 17 Bratislava 81231 Slovakia ZP VVC Sro Kolkaren 35 Podbrezova 97681 Slovakia

Sophisticated numerical models are created nowadays for the continuous casting of steel, partly thanks to the rapid development of information technology. These models are based on the numerical solutions of nonlinear partial differential equations describing the dynamics of modelled phenomena. Such distributed parameter numerical models used as "software sensors" offer the possibility to control the secondary cooling process. However, in current engineering practice the control synthesis is solved by lumped parameter systems approach. Tins paper shows how to solve the control synthesis problem based on distributed parameter system approach, using widely available software products for numerical modelling of continuous casting of steel combined with algorithms for control of lumped and distributed parameter systems. (C) 2016, IFAC (International Federation or Antomatie (control) Hosting by Filsevier Ltd. All rights reserved.

关键词： software sensor continuous casting of steel distributed parameter system dynamics decomposition control design approximation problem constrained model predictive control

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A Sequential Method for Determining Optimal Stripper Pressure and Terminal Pressure in CO₂ Capture and Liquefaction process Using MEA

A Sequential Method for Determining Optimal Stripper Pressur...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Park, Taekyoon Bae, Jaehan Lee, Chang Jun Lee, Jong Min Seoul Natl Univ Inst Chem Proc Sch Chem & Biol Engn 1 Gwanak Ro Seoul 08826 South Korea Pukyong Natl Univ Dept Safety Engn 45 Yongso Ro Busan 48513 South Korea

The pressure of a distillation column for regenerating an absorbent is one of the key variables for minimizing the energy in a carbon capture and storage (CCS) chain. The steam drag point in power plant, the regeneration energy in capture process and the compression energy in the liquefaction process are highly dependent on the pressure of regeneration column. In this work, a new method for determining optimal value of stripper pressure is proposed based on the integrated simulation model and sequential optimization method. Total required energy has been represented as a function of the stripper pressure and the terminal pressure. The results show that the higher pressure is generally recommended to reduce the required energy, revealing that the value of the stripper pressure depends on the licluefaction process more than the power plant. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： CCS MEA stripper carbon dioxide

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'State Deja vu' inter-agent learning adaptive control framework

'State Deja vu' inter-agent learning adaptive control framew...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Qu, Hongyi Zhang, Ridong Gao, Furong Hong Kong Univ Sci & Technol Dept Chem & Biomol Engn Kowloon Hong Kong Peoples R China

An inter-agent learning adaptive control framework is proposed for mass production by using multi-agent system approach to enhance the convergence performance over the single agent control. The idea is to invoke agent-wise differences on estimated parameters of the online estimator in adaptive control. Each agent's estimator selects estimated parameters from a corresponding 'best' agent among them for next iteration according to 'State Deja vu' criterion mimicking psychological phenomenon of adopting experience from state similar to current one. The application of proposed framework on model free adaptive control shows to have robust convergence, good stability, and effective performances enhancement. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Nonlinear system Adaptive control Parameter estimation Learning control Continuous systems Regulation

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VFA robust control of an anaerobic digestion pilot plant: experimental implementation

VFA robust control of an anaerobic digestion pilot plant: ex...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Garcia-Sandoval, J. P. Mendez-Acosta, H. O. Gonzalez-Alvarez, V. Schaum, A. Alvarez, J. CUCEI Univ Guadalajara Dept Ingn Quim Calz Gral Marcelino Garcia Barragan 1451 Guadalajara 44430 Jalisco Mexico Univ Kiel Chair Automat Control Kiel Germany Univ Autonoma Metropolitana Iztapalapa Dept Ingn Proc & Hidraul Ciudad De Mexico DF Mexico

In this work, an experimental implementation of a model based output feedback (OF) scheme applied to regulate the volatile fatty adds concentration of an anaerobic digestion pilot plant is presented. The OF scheme was developed within a global nonlinear dynamics framework, resulting in an interlaced control-observer design in the light of passivity, observability, and bifurcation properties. From a industrial control perspective, the resulting OF scheme is a. saturated PI controller with: (i) systematic construction and tuning and (ii) nonlocal robust stability conditions in terms of control gains and limits. Experimental results demonstrate the applicability, robustness and reliability of the OF control scheme in a real environment under several load disturbances, severe uncertainties and typical operational failures. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Waste treatment Dynamic output feedback Anaerobic Digestion real-time control

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A Novel Algorithm for Design of Mixed Energy-integrated Batch process Networks

A Novel Algorithm for Design of Mixed Energy-integrated Batc...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Shahane, Parikshit Jogwar, Sujit S. Inst Chem Technol Dept Chem Engn Bombay 400019 Maharashtra India

This paper presents a novel algorithm for calculating minimum utility targets for mixed energy integration which combines direct and indirect strategies. Mixed integration offers enhanced heat, recovery compared to direct, or indirect strategy at the cost of challenging design The proposed method is based on time-dependent heat cascade analysis and consists iterative application of direct and indirect targeting. The present approach overcomes some of the limitations exhibited by the existing methods. The effectiveness of the proposed algorithm is elucidated for a benchmark energy integration problem wherein the achieved external utility consumption is close to the theoretical minimum value. (C) 2016, IFAC (International Federation of Antomatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Heat integration Utility targeting Heat storage Beat exchanger network cascade

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Variable Elimination-Based Contribution for Accurate Fault Identification

Variable Elimination-Based Contribution for Accurate Fault I...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Satoyama, Yusuke Fujiwara, Koichi Kano, Manabu Kyoto Univ Dept Syst Sci Kyoto 6068501 Japan

We propose a new fault identification method, which can describe the contribution of each process variable to a detected fault and identify a faulty variable more accurately than conventional methods. In the proposed method, in addition to a fault detection model that describes normal operating condition (NOC), multiple fault identification models that describe the saute NOC are also constructed by eliminating one variable front all monitored variables at a time. After a fault is detected with the fault detection model, the fault detection index, e.g. a combined index of the T-2 and Q statistics, is calculated by using each of the fault identification models. When the faulty variable is eliminated, the index does not change before and after the fault occurs. On the other hand, when the normal variable is eliminated, the index is affected by the fault and increases after the fault occurs. Thus, the eliminated variable corresponding to the index that does not, increase after the occurrence of the fault is identified as a faulty variable. In the proposed method, the ratio of the average index in NOC to the current index is used as a fault identification index or a contribution. To validate the proposed method, VEC was compared with the reconstruction-based contribution (RBC) through numerical examples. The results have demonstrated that VEC outperformed RBC in fault identification performance both in the linear case and in the nonlinear case. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Fault identification fault diagnosis multivariate statistical process control (MSPC) process monitoring contribution plot kernel principal component analysis nonlinear systems

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Proactive Actuator Fault-Tolerance in Economic MPC for Nonlinear process Plants

Proactive Actuator Fault-Tolerance in Economic MPC for Nonli...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Knudsen, Brage Rugstad Norwegian Univ Sci & Technol Dept Engn Cybernet N-7491 Trondheim Norway

This paper presents a scheme for proactive accommodation of incipient actuator faults nonlinear process plaits operated with economic model predictive control (EMPC). The control scheme implements a switching from nominal economic operations to a safe transition mode when receiving a Warning about an incipient fault in one of the actuators, thereby ensuring that the plant is proactively steered to a steady-state point where the suspect control actuator is inactive. Upon reaching this safe steady-state point, the faulty actuator can be safely disconnected and repaired without shutting down the plant, before the controller subsequently resumes nominal economic operation steer the plant to the safe steady-state point, we impose an l(1) penalty function in order to achieve dead-beat control and reach the steady state in finite time. We provide a lower bound On the penalty parameter to ensure exactness of the penalty function, and analyze stability and convergence properties of the proactive fault-tolerant EMPC scheme. Vie demonstrate application of the proposed scheme on a non-isothermal continuously stirred tank reactor. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Fault-tolerant MPC Economic Optimization process Plants Exact penalty functions

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Modeling, sensitivity analysis and parameter identification of a twin screw extruder

Modeling, sensitivity analysis and parameter identification ...

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11th IFAC symposium on dynamics and control of process systems including Biosystems

作者： Grimard, Jonathan Dewasme, Laurent Thiry, Justine Krier, Fabrice Evrard, Brigitte Wouwer, Alain Vande Univ Mons Control Dept Bd Dolez 31 B-7000 Mons Belgium Univ Liege Lab Pharmaceut Technol & Biopharm Ave Hippocrate 15 B-4000 Liege Belgium

Following the recent success of hot, melt,extrusion in the pharmaceutical field, monitoring and control are increasingly applied. In this study, a mathematical model consisting of mass and energy balance partial differential equations is developed and parameters related to material transportation are inferred front experimental data collected from a pilot plant. This data is relative to the output, residence title distribution of active product. Parameter identification is complemented by a parametric sensitivity analysis and the computation of confidence intervals. Direct and cross-validation results demonstrate the good predictive capability of the model, which could probably be exploited for model based control at a next stage. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Mathematical Modeling Partial differential equations estimation pharmaceuticals process control

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