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

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Neural NLMPC schemes for the control of the activated sludge process

Neural NLMPC schemes for the control of the activated sludge...

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

作者： Goldar, Alejandro Revollar, Silvana R. Lamanna, Rosalba Vega, Pastora Univ Simon Bolivar Proc & Syst Dept Caracas 89000 Venezuela Univ Salamanca Informat & Automat Dept E-37008 Salamanca Spain

Nonlinear model predictive controllers based on neural networks are implemented in this paper to regulate the activated-sludge process. The simulation protocol BSM1 is used to apply the predictive controller schemes and study the closed loop process behavior in different situations. Also input-output data are gathered from the benchmark for the neural networks training. control results under dry-weather perturbations are satisfactory when a combined NLMPC - Classic PI control system is tested. This scheme has shown the best performance when compared to a centralized NLMPC scheme, a decoupled NLMPC scheme or the classic PI system developed on the BSM1. An economic analysis indicates that the neural predictive algorithm for nitrates control improves the effluent quality while also decreasing the pumping energy consumption by optimizing the internal recirculation flowrate variations. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Predictive control Neural network models Nonlinear models Water treatment

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Robust Automatic Well Choke control - Physical Constraint Based Operation

Robust Automatic Well Choke Control - Physical Constraint Ba...

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

作者： Kittilsen, Pal Fjalestad, Kjetil Sperle, Ingvild Lovik Aasheim, Robert Statoil ASA Statoil Res & Technol Stavanger Norway

process fluctuations are often equivalent to lost production as the necessary margins to process constraints need to take into account the fluctuations. Better operation is achieved by reduced process fluctuations enabling operation closer to the constraints (reducing the backoff) thus the average production increases. For oil Wells, this transition is typically achieved with automatic choke control. Both oil and gas production wells and injection Wells benefit from automatic choke control. The natural variations of the underlying process require frequent adjustments of the well chokes in order to keep key parameters at their optimal values. If not operating the choke at fully open position, it is normally beneficial to replace manual operation with automatic choke control. This approach enables operation close to active Well constraints. In addition, automatic actions can be taken to avoid safety issues. This paper gives practical examples of the benefits obtained by applying automatic choke control to gas coning wells and water injectors. Exchanging manual infrequent choke manipulations with continuous operations close to the true, physical constraints, enable safe and optimal production. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： automatic control estimation robust constraints industrial control

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Run-to-run control with nonlinearity and delay uncertainty

Run-to-run control with nonlinearity and delay uncertainty

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

作者： Clerget, Charles-Henri Grimaldi, Jean-Philippe Chebre, Meriam Petit, Nicolas TOTAL Refining & Chem Adv Proc Control Dept Tech Direct Le Havre France TOTAL SA Sci Dev DG DS Paris France PSL Res Univ MINES ParisTech CAS 60 Bd St Michel F-75006 Paris France

In this paper, we study a simple single-input single output nonlinear system controlled by a Run-to-run algorithm. Besides the usually considered model uncertainty, the particularity of the system under consideration is that measurements available to the control algorithm suffer from large and varying measurement delays. The control algorithm is a nonlinear sampled model-based controller with successive model inversion and bias correction. The main contribution of this article is its proof of global convergence. In particular, the model error and the varying delays are treated using monotonicity of the system and a detailed analysis of the closed-loop behavior of the sampled dynamics, in an appropriate norm. (C) 2016, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Run-to-run control data-sampled system varying time delays stability analysis

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A Bacteriostatic control Approach for Mixotrophic Cultures of Microalgae

A Bacteriostatic Control Approach for Mixotrophic Cultures o...

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

作者： Deschenes, Jean-Sebastien Univ Quebec Dept Math Informat & Genie Rimouski PQ G5L 3A1 Canada

Mixotrophic mode of cultivation is an effective means of producing algal biomass. However, as it involves growth on an organic carbon source, the risks of bacterial contamination (and takeover) arc higher at large production scales (e.g. pilot or industrial scale) where adequate sterilization is difficult to ensure. This observation also holds for closed systems such as photobioreactors. A recent study showed that the bacterial population can be contained under particular constraints on the available nutrients in the culture medium. Using very simple models for the dynamic behavior (growth and nutrient consumption) of both species involved (algae and bacteria), this paper investigates biomass productivity aspects under such operational constraints as well as possible approaches for conducting the system. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Microalgae mixotrophy bacterial contamination batch control nutrient limitation

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Parsimonious Cooperative Distributed MPC for Tracking Piece-Wise Constant Setpoints

Parsimonious Cooperative Distributed MPC for Tracking Piece-...

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

作者： Razzanelli, Matteo Pannocchia, Gabriele Univ Pisa Dept Informat Engn I-56100 Pisa Italy Univ Pisa Dept Civil & Ind Engn I-56100 Pisa Italy

Distributed Model Predictive control refers to a class of predictive control architectures in which a number of local controllers manipulate a subset of inputs to regulate a subset of outputs composing the overall system. These controllers may cooperate to find an optimal control sequence that minimizes a global cost function, as in the case of Cooperative Distributed Model Predictive control (CD-MPC). In this paper two linear CD-MPC algorithms for tracking are proposed. The aim of these controllers is to drive the outputs of the overall system to any admissible piece-wise constant set-point, satisfying input and state constraints. However, in the available literature this result is achieved by using a set of centralized variables that keep track of the global state of the system. In contrast, we develop novel CD-MPC approaches for tracking that rely on as local as possible information instead of the plant-wide information flow. These new control strategies reduce the required communication overhead, local computational demands, and are more scalable than CD-MPC algorithms available in the literature. We illustrate the main characteristics and benefits of the proposed approaches by means of a multiple evaporator process example. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： MPC reference tracking cooperative distributed control large-scale systems

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control of Reversible Degradation Mechanisms in Fuel Cells: Mitigation of CO contamination

Control of Reversible Degradation Mechanisms in Fuel Cells: ...

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

作者： Tjonnas, Johannes Zenith, Federico Halvorsen, Ivar J. Klages, Merle Scholta, Joachim SINTEF ICT Appl Cybernet N-7026 Trondheim Norway Zentrum Sonnenenergie & Wasserstoff Forsch BW ZSW D-89081 Ulm Germany

Fuel Cells are subject to several degradation phenomena where some are reversible and some irreversible. Normally all contribute to a reduced cell voltage, but it may be complicated to discriminate the particular causes. A brief overview is given and a method for modelling and controlling the particular case of CO contamination by use of active and adaptive air-bleed manipulation is presented. (C) 2016, IFAC (International Federation or Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： fuel cell degradation CO poisoning air bleed control observer parameter estimation

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Comparative Study of Multicomponent Distillation Static Estimators Based on Industrial and Rigorous Model Datasets

Comparative Study of Multicomponent Distillation Static Esti...

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

作者： Torgashov, Andrei Skogestad, Sigurd Kozlov, Alexey FEB RAS Inst Automat & Control Proc 5 Radio Str Vladivostok Russia Far Eastern Fed Univ Bldg 12 ECampus FEFU Vladivostok Russia Norwegian Univ Sci & Technol Dept Chem Engn NO-7491 Trondheim Norway JSC Gazpromneft Omsk Refinery 1Pr Gubkina Omsk 644040 Russia

The comparative studs of static estimators (soft sensors) for a multicomponent distillation process based on the industrial and calibrated rigorous model datasets is considered. The sequence of distillation columns of an FFC unit is analyzed as an industrial case study. The contribution of the paper is to develop a method aimed at incorporating a priori knowledge about process in terms of rigorous models for static estimator design when the training sample is small and contains measurement errors. The superiority of a constrained optimization approach for SE design over conventional robust Al estimator is reported. The system of constraints is derived from a calibrated rigorous model of an industrial plant. (C) 2016;IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Soft sensing estimators process models distillation columns

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Identification of Wiener Models in the Presence of ARIMA process Noise

Identification of Wiener Models in the Presence of ARIMA Pro...

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

作者： Aljamaan, Ibrahim Westwick, David T. Foley, Michael Schulich Sch Engn Dept Elect & Comp Engn 2500 Univ Dr NW Calgary AB T2N 1N4 Canada Schulich Sch Engn Dept Chem & Petr Engn 2500 Univ Dr NW Calgary AB T2N 1N4 Canada

In this paper, a Prediction Error based algorithm is developed for the identification of a Wiener system, a linear dynamic subsystem followed by a static non-linearity, in the presence of a non stationary disturbance added before the static non linearity. This structure represents a non-stationary process disturbance, as is common in chemical process control applications. In the proposed method, the disturbance part, is restructured to be stationary by differencing the input signal and implicit differencing of the unmeasured intermediate signal. First, an approximate but linear in the variables model is fitted, and used to construct an initial estimate of a parametric system model. This is then refined using a quasi-Newton optimization. Finally, Monte-Carlo simulation is used demonstrate the performance of the algorithm. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Wiener model Prediction Error Method Nonlinear System Identification ARIMA

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Reducing wear of sticky pneumatic control valves using compensation pulses with variable amplitude

Reducing wear of sticky pneumatic control valves using compe...

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

作者： Munaro, Celso J. de Castro, Gabriel B. da Silva, Filipe Amorim Angarita, Oscar F. B. Gomes Cypriano, Marcos Vinicios Univ Fed Espirito Santo Vitoria ES Brazil

The presence of friction in control valves produces limit cycles that reduces the performance of control loops. Once friction is detected, its compensation avoids process stops until the next maintenance stop is performed. Model free methods adding feed-forward pulses to PID controller output have been proposed to reduce the effect of friction. A common drawback in such methods is the increase in the movement of the valve stern. A new method is here proposed to overcome this issue. The amplitude of the pulses vary and becomes zero when a specified limit, for the error on the process Variable is achieved. Another advantage of this method is its ability to cope with uncertainty in friction, since the amplitude of the pulses pulses vary between limits. The method is illustrated via simulation, and its implementation in a real industrial controller is shown and discussed. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Friction compensation nonlinear control performance monitoring control valves PID control

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Full-scale implementation of an advanced control system on a biological wastewater treatment plant

Full-scale implementation of an advanced control system on a...

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

作者： Midas, Michela Corona, Francesco Sirvio, Jukka Hyvonen, Seppo Vahala, Riku Aalto Univ Dept Built Environm Espoo Finland Univ Fed Campina Grande Dept Chem Engn Campina Grande PB Brazil Aalto Univ Dept Comp Sci Espoo Finland Univ Fed Ceara Dept Teleinformat Engn Fortaleza Ceara Brazil Mipro Oy Mikkeli Finland

The implementation of a multivariable control package for the real-time control and supervision of a biological wastewater treatment plant is reported and discussed. The goal is to improve the plant operation in terms of effluent quality and operational costs. A dynamic matrix control algorithm is put into Operation for controlling the ammonia concentration at the end the biological reactor in the activated sludge process. The status of the plant instrumentation is continuously monitored by multivariate statistical technology based on moving windows principal component analysis. Results of the first, six months of continuous operation show the ability of the designed predictive control in reducing the aeration energy consumption whilst keeping the ammonia concentration in the effluent within the limits. (C) 2016, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Activated sludge process Biological wastewater treatment Dynamic matrix control Principal component analysis

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