A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a n...
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ISBN:
(纸本)9788070438657
A simple dynamic model of an industrial size synchronous generator operating in a nuclear power plant is developed in this paper based on first engineering principles. The constructed state-space model consists of a nonlinear state equation and a bi-linear output equation. It has been shown that the model is locally asymptotically stable with parameters obtained from the literature for a similar generator. The effect of load disturbances on the partially controlled generator has been analyzed by simulation using a traditional PI controller. It has been found that the controlled system is stable and can follow the set-point changes in the effective power well. The disturbance rejection of the controller is also satisfactory.
Course material of basic control theory has been overviewed and updated recently at the Faculty of Electrical engineering and Informatics, BME. The paper describes shortly the contents and the teaching methods of the ...
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The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex com...
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Complex chemical reaction networks often exhibit different dynamic behaviour on different time scales. A combined approach is proposed in this work for determining physically meaningful mass action realizations of com...
Complex chemical reaction networks often exhibit different dynamic behaviour on different time scales. A combined approach is proposed in this work for determining physically meaningful mass action realizations of complex chemical reaction networks that describe its dynamic behaviour on different time scales. This is achieved by appropriately reducing the detailed overall mass action kinetic scheme using quasi steady state assumptions fit to the particular time scale, and then searching for an optimal realization using mixed integer linear programing. Furthermore, the relationship between the properties (reversibility, deficiency, stability) of the obtained realizations of the same system on different time scales are also investigated and related to the same properties of the detailed overall model. It is shown that the reduced models obtained by quasi steady state assumptions may show exotic nonlinear behaviour, such as oscillations, when the original detailed is globally asymptotically stable. The proposed methods are illustrated by using a simple Michaelis-Menten type reaction kinetic example. The simplified versions of the well known Brusselator model have also been investigated and presented as a case study.
A main step in service diagnosis is the selection of dedicated tests for a faulty automotive system in order to decide in which component a fault has occurred. This paper develops a test selection approach that is bas...
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The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters...
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The 20 papers in this second part of this special section are classified by energy sources (wind, photovoltaic, hydro, etc.), grid-related issues (islanding, synchronization, microgrid, and smart grid), and converters for renewable energy sources.
The paper considers the fault-tolerant control of the boost pressure and the exhaust gas recirculation of a two-stage turbocharged Diesel engine air path. The aim is to recover the stability and setpoint tracking prop...
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The Youla-parametrization is a useful method and widely applied to design controllers for open-loop stable single-input-singe-output (SISO) plants. The KB-parametrization is a successful extension of this method for t...
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ISBN:
(纸本)9781846000386
The Youla-parametrization is a useful method and widely applied to design controllers for open-loop stable single-input-singe-output (SISO) plants. The KB-parametrization is a successful extension of this method for two-degree-of freedom (2DOF) systems. The paper extends this methodology for multivariable case.
We present a sparse Bayesian reconstruction method based on multiple types of a priori information for multispectral bioluminescence tomography (BLT). In the Bayesian approach, five kinds of a priori information are i...
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In this paper, we analyze the identifiability properties of a Hodgkin-Huxley (HH) type voltage dependent ion channel model under voltage clamp circumstances. The elimination of the differential variables is performed,...
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In this paper, we analyze the identifiability properties of a Hodgkin-Huxley (HH) type voltage dependent ion channel model under voltage clamp circumstances. The elimination of the differential variables is performed, and the identifiability of various parameters is analyzed using the differential algebra approach and the algorithm based on the Taylor series expansion of the output. It is shown that the model is structurally non-identifiable using certain commonly applied parametrizations, and hidden dependences between physical parameters are unravelled. Using the results of the identifiability analysis, physically meaningful examples are shown when the model parameters are different but the system outputs are identical.
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