In this paper, we test a simple fuzzy controller for substrate regulation in a typical continuous bioprocess. the control variable (dilution rate) is determined according to a set of rules resulting of human expertise...
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ISBN:
(纸本)0080417108
In this paper, we test a simple fuzzy controller for substrate regulation in a typical continuous bioprocess. the control variable (dilution rate) is determined according to a set of rules resulting of human expertise in process control, and based on the substrate concentration measurement. the evaluation of this controller is carried out through realistic simulations and its performances are compared withthose of more classical ones (PI and L/A controllers). We study in particular, their performances in tracking substrate concentration setpoint, and in rejecting disturbances (substrate overload, toxic introduction which inhibits the growth). Moreover the sensitivity of the controller to modelling errors is analyzed: in particular in relation to uncertainties on growth kinetics models. We also consider problems in terms of design, tuning, and implementation of such controllers.
In controlling a fermentation process, the most difficult aspect is that of finding a suitable model. In this paper different approaches to modellingthe Cyathus Striatus fermentation process are described. In one app...
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ISBN:
(纸本)0080417108
In controlling a fermentation process, the most difficult aspect is that of finding a suitable model. In this paper different approaches to modellingthe Cyathus Striatus fermentation process are described. In one approach, conventional biotechnological wisdom has been used to develop a set of equations whose parameters have been determined numerically. In a second approach, a linear multivariable model has been fitted to experimentally obtained data. Some interesting extensions involve the integration of the equations in an attempt to generate a set of time varying equations. the third approach is to use neural nets, trained on experimental data. the three approaches are compared in regard to their utility in state estimation and in trajectory-following control of the problem.
Various modelling paradigms (deterministic, stochastic, statistical, classification, approximation, fuzzy, logical) have been applied to bioprocess control. Each approach is able to cover certain aspects of the comple...
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ISBN:
(纸本)0080417108
Various modelling paradigms (deterministic, stochastic, statistical, classification, approximation, fuzzy, logical) have been applied to bioprocess control. Each approach is able to cover certain aspects of the complex bio/technical system. To achieve robust control strategies for practical application, different methods for simulation, analysis, validation and control have to be combined. the arising computer programs can be seen as implementations of `hybrid process models'. Usually they have a high complexity and are difficult to maintain with respect to program transparency, reusability and knowledge retrieval. A software engineering approach is presented that allows the representation of hybrid process knowledge in a well structured way. It is based on the notion of abstract frames, networks and information transformations. First results from previous and current work on an object oriented computer implementation of the described concept (`BioProcess ToolKit') are summarized. Some applications (i.e. on-line bioprocess optimization, NMR spectral deconvolution) are discussed.
the most existing industrial fermentation processes of antibiotics are controlled manually and empirically, which results in relatively low and fluctuated fermentation levels. For increasing the fermentation level, on...
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ISBN:
(纸本)0080417108
the most existing industrial fermentation processes of antibiotics are controlled manually and empirically, which results in relatively low and fluctuated fermentation levels. For increasing the fermentation level, on-line optimal computer control is a very important technique. In this work a new technique based on process modelling and computer control has been developed for industrial penicillin fermentation. As a basis of computer controlthree models should be established beforehand: monitor model-to relate the on-line measurable variables to the biological process variables;kinetic model-to decide the consumption rate of nutrient components and the formation rates of biomass and secondary metabolite product;and control model-to determine the control variables. A lab-scale computer coupled fermentation system (5L) was developed, which can on-line monitor pH, dissolved oxygen level (D. O), temperature, aeration rate, agitation speed, antifoam, pressure, concentrations of oxygen and carbon dioxide in effluent, and can calculate up to 12 variables in real time, including the carbon dioxide production rate [CPR], oxygen uptake rate (OUR), respiratory quotient (R. Q), oxygen transfer coefficient (kLa) etc. A feeding device was controlled by this computer system, which can controlthe feed-rates of sugar, nitrogen source and precursor according to a built-in model. this system has been employed to simulate an industrial penicillin fermentation process. through investigation of the time courses it was found that the variation of carbon dioxide production rate with time has a close relation to the fermentation states, which are characterized as fast growing phase, transient phase and production phase. Referring to the variation of pH, the fermentation stages can be determined from the changing rate of [CPR]. During the production phase the level of sugar should be controlled strictly. It was first found that there exists a proportional relation between the total amount
the majority of prosthetic hands available today make no pretense of approaching the versatility and functionality of the human hand. Available prostheses generally possess only one degree of freedom, which greatly re...
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An attempt is made to control a multilink flexible robotic manipulator by a general state-space controller. A model for the complicated dynamics can be achieved by a physical modeling technique. Simulation tests on th...
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ISBN:
(纸本)0818621087
An attempt is made to control a multilink flexible robotic manipulator by a general state-space controller. A model for the complicated dynamics can be achieved by a physical modeling technique. Simulation tests on the control of a two-link robotic flexible manipulator are carried out. the fundamental mode of vibration is modeled by a piggyback translational spring-mass system, making the derivation of the mathematical model more simple. An optimal control technique is used in the design of the controller.
Summary form only given. throughout the history of neuroscience, interneuron communication has usually been considered under the simplifying assumption of frequency-modulated (FM) encoding. In newer artificial neural ...
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ISBN:
(纸本)0818621087
Summary form only given. throughout the history of neuroscience, interneuron communication has usually been considered under the simplifying assumption of frequency-modulated (FM) encoding. In newer artificial neural networks, this same view has justified the abstraction of real neural pulse trains into hypothesized neuron activation levels: continuously varying scalars representing the short-term average firing rate, or firing probability, of the original pulse train. After reviewing conventional FM and digital paradigms of neural computation, the author presents new physiological evidence in support of a different view: temporally fine-grained computation based on the coincident interaction and history-dependent processing of individual impulses. A biologically inspired artificial network that can learn to categorize temporally fine-grained impulse patterns is described, demonstrating the viability of this nontraditional approach.
An attempt is made to control a multi-link flexible robotic manipulator by a general state-space controller. A model for the complicated dynamics can be achieved by a physical modelling technique. Simulation tests on ...
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An attempt is made to control a multi-link flexible robotic manipulator by a general state-space controller. A model for the complicated dynamics can be achieved by a physical modelling technique. Simulation tests on the control of a two-link robotic flexible manipulator are carried out. the fundamental mode of vibration is modeled by a piggyback translational spring-mass system, making the derivation of the mathematical model more simple. An optimal control technique is used in the design of the controller.< >
the authors have developed a theoretical model for surface charge evolution in specific in vivo systems, based upon ion migration occuring at the interface between tears and ocular therapeutic membranes. Gibbs-Donnan ...
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the authors have developed a theoretical model for surface charge evolution in specific in vivo systems, based upon ion migration occuring at the interface between tears and ocular therapeutic membranes. Gibbs-Donnan theory allows the prediction of net ion movement and calculation of trans-membrane potential differences, interpretable as surface charge. Two generalized algebraic equations are presented which calculate potential differences across membranes under specific parameters of tear ionic strength, ionic strength of membrane-impregnated compounds, and number of elapsed blinks. Computer-generated data for a model (Na-fluorescein-impregnated membrane) reveals that a plateau surface charge is attained after 5-6 blinks for any loading concentration less than physiologic (140 mM).
the last few years have seen an increasing trend in the use of computer-based technology for automation and process-control problems. Modern computer-based controlsystems must be user-friendly, flexible and easily co...
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the last few years have seen an increasing trend in the use of computer-based technology for automation and process-control problems. Modern computer-based controlsystems must be user-friendly, flexible and easily configurable. the use of mass-storage devices withthis technology permits the storage of copious quantities of historical plant data. this facility presents the control engineer with an ideal mechanism for performing process-analysis, simulation and control system design. this paper outlines an integrated system which permits an inexperienced user to engineer a computer-based process-control system within a few man days, while at the same time providing the control engineer with access to a set of sophisticated analysis and design tools. the computer system comprises a real-time database, software for communication with front-end input/output equipment, a configurable man-machine interface and a comprehensive logging subsystem for the long-term storage of plant data. A remote access facility allows networking to foreign intelligent devices such as IBM PC's and provides secure access to the real-time database and historical logfiles. Formatted transfer of logfile data to the foreign computers allows the use of proprietary software packages for process study, modelling, system identification and multivariable control system design. this networking facility reduces the necessity for higher level control functions such as optimisation to be implemented in the central process computer.
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