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EN
The aim of the paper is to examine a control strategy for a single proton conducting solid oxide fuel cell (H+SOFC). The study is based on a dynamic model originating from the steady state reduced order model of H+SOFC. The proposed control strategy is based on a singular PID controller that controls the amount of air delivered to the cathode side of the fuel cell. Additionally, fuel mass flow is correlated with current density to achieve a fixed fuel utilization factor. The concept was tested on typical operating scenarios such as load-follow mode. The study revealed that the singular PID controller is reliable and ensures a safe H+SOFC operation.
EN
The purpose of the article is developing the locomotive structure of intellectual system of support of decision-making and to find a criterion by which to adequately assess different control action to the train. System of decision support for locomotive crew is seen as a complex structure with complex interactions located at a great distance, on-board locomotive systems. The quality of the organization determines the effectiveness of the system as a whole. To solve the problem of creating the optimal structure of the DSS applies the aggregate-decomposition method that involves two steps: decomposition of the problem into a number of subproblems and aggregating the partial results. To evaluate the quality control of a locomotive used the concept of control strategy with specific indicators. Design is developed and structure of locomotive DSS is obtained, taking into account peculiarities of operation of railway transport. To account for not only quantitative but also qualitative characteristics of activity of the locomotive or intellectual systems of decision support, it is proposed to use methods of fuzzy logic. So were able to deduce and calculate the additive criterion of the quality control activities of the intelligent system. Formal indicator of the quality of the train control process using different strategies is received. In the work theoretically grounded definition of the weighting factors for each partial criterion of the quality of train control. Using the dependencies derived, the nature of the influence of the value of partial criteria on the quality of train control in relation to a strategy. The results of the work allow to more accurately simulate the operations of a locomotive crew, which in the future will serve as the basis for the development of autonomous intelligent systems of locomotive control. The developed method is shown to be three main criteria which values the safety, energy consumption, and execution time schedule. However, for more flexible and accurate model, this approach allows to enter additional criteria, and the simplicity of the calculation provides the necessary speed when implemented on on-board locomotive computers.
EN
The efficiency of each drives is dependent on many factors. Hybrid drives and specially the drives of urban public transport may be affected by other factors given by transport infrastructure or operational conditions. These factors condition the suitable configuration of the individual elements of hybrid drive and the establishment of good control strategy of such drive. The study of influencing factors of the control strategy is the aim of this paper.
PL
Efektywność poszczególnych napędów jest zależna od wielu czynników. Na napędy hybrydowe, a w szczególności te stosowane w publicznym transporcie miejskim mogą mieć wpływ inne czynniki, wynikające z infrastruktury transportowej lub warunków eksploatacyjnych. Te czynniki warunkują odpowiednią konfigurację poszczególnych elementów napędu hybrydowego oraz ustanowienie dobrej strategii kontroli takiego napędu. Celem niniejszego opracowania jest badanie czynników wpływających na strategię kontroli.
EN
Based on mathematical modelling and numerical simulations, a control strategy for a Molten Carbonate Fuel Cell Hybrid System (MCFC-HS) is presented. Adequate maps of performances with three independent parameters are shown. The independent parameters are as follows: stack current, fuel mass flow and compressor outlet pressure. Those parameters can be controlled by external load, fuel valve and turbine-compressor shaft speed, respectively. The control system is purposed to meet many constraints: e.g. stack temperature, steam-to-carbon ratio, compressor surge limitation, etc. The aim is to achieve maximum efficiency of power generated within these constraints. Governing equations of MCFC-HS modelling are given. An operational line of the MCFC-GT system is presented which fulfils several constraints (temperature difference, cell temperature, etc.) The system is able to achieve efficiency of more than 62% even in part-load operation.
PL
Niniejszy artykuł przedstawia zintegrowaną metodologię optymalizacji kontroli i eksploatacji elementów składowych z uwzględnieniem możliwości odroczonej naprawy jako jednej z kilku istniejących opcji. Modele uszkodzeń, ryzyka i kosztu cyklu życia utworzono wykorzystując pojęcia prawdopodobieństwa, procesu stochastycznego i czasu zwłoki. Model ma na celu optymalizację częstotliwości kontroli i czasu odroczenia naprawy a następnie stworzenie optymalnej strategii eksploatacji dla części składowych w ramach kontroli nieokresowej. Działanie zaproponowanego modelu zilustrowano przykładem oraz przedstawiono wpływ kontroli oraz czasu zwłoki w wykonaniu naprawy na koszt cyklu życia.
EN
In this paper, an integrated methodology is developed for optimising inspection and maintenance of a component where delayed repair is considered to be one of a few feasible options. The models of failures, risk and life cycle cost are developed using probability, stochastic process and the delay time concept. The model is intended to optimise the inspection intervals and the delay of repair together and then develop an optimal maintenance policy for a component under non-periodic inspection regime. The performance of the proposed model is illustrated by an example, and the effects of inspection and time of delay for repair on life cycle cost are shown.
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