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Wyszukujesz frazę "Aschemann, H." wg kryterium: Autor


Wyświetlanie 1-4 z 4
Tytuł:
Nonlinear state observers and extended Kalman filters for battery systems
Autorzy:
Rauh, A.
Butt, S. S.
Aschemann, H.
Powiązania:
https://bibliotekanauki.pl/articles/330696.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
observer
state estimation
Riccati equations
extended Kalman filter
parameter estimation
obserwator
estymacja stanu
równanie różniczkowe Riccatiego
filtr Kalmana
estymacja parametryczna
Opis:
The focus of this paper is to develop reliable observer and filtering techniques for finite-dimensional battery models that adequately describe the charging and discharging behaviors. For this purpose, an experimentally validated battery model taken from the literature is extended by a mathematical description that represents parameter variations caused by aging. The corresponding disturbance models account for the fact that neither the state of charge, nor the above-mentioned parameter variations are directly accessible by measurements. Moreover, this work provides a comparison of the performance of different observer and filtering techniques as well as a development of estimation procedures that guarantee a reliable detection of large parameter variations. For that reason, different charging and discharging current profiles of batteries are investigated by numerical simulations. The estimation procedures considered in this paper are, firstly, a nonlinear Luenberger-type state observer with an offline calculated gain scheduling approach, secondly, a continuous-time extended Kalman filter and, thirdly, a hybrid extended Kalman filter, where the corresponding filter gains are computed online.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2013, 23, 3; 539-556
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative calculation of the fuel-optimal operating strategy for diesel hybrid railway vehicles
Autorzy:
Leska, M.
Aschemann, H.
Melzer, M.
Meinert, M.
Powiązania:
https://bibliotekanauki.pl/articles/330621.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
hybrid railway vehicle
fuel optimal energy management
dynamic programming
sensitivity optimisation
pojazd szynowy
pojazd hybrydowy
gospodarka energetyczna
programowanie dynamiczne
Opis:
In contrast to road-based traffic, the track as well as the corresponding duty cycle for railways are known beforehand, which represents a great advantage during the development of operating strategies for hybrid vehicles. Hence the benefits of hybrid vehicles regarding the fuel consumption can be exploited by means of an off-line optimisation. In this article, the fuel-optimal operating strategy is calculated for one specified track using two hybrid railway vehicles with different kinds of energy storage systems: on the one hand, a lithium-ion battery (high-energy storage) and, on the other, a double layer capacitor (high-power storage). For this purpose, control-oriented simulation models are developed for each architecture addressing the main effects contributing to the longitudinal dynamics of the power train. Based on these simulation models, the fuel-optimal operating strategy is calculated by two different approaches: Bellman’s dynamic programming, a well-known approach in this field, and an innovative sensitivity-based optimisation.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2017, 27, 2; 323-336
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new procedure for the design of iterative learning controllers using a 2D systems formulation of processes with uncertain spatio-temporal dynamics
Autorzy:
Cichy, B.
Gałkowski, K.
Dąbkowski, K.
Aschemann, H.
Rauh, A.
Powiązania:
https://bibliotekanauki.pl/articles/205941.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
iterative learning control
spatio-temporal dynamics
Crank-Nicolson discretization
Opis:
Iterative Learning Control (ILC) is well established in control of linear and nonlinear dynamic systems, both as to underlying theory and experimental validation. This approach specifically aims at applications with the same operation repeated over finite time intervals and reset taking place between subsequent executions (the trials). The main principle behind ILC is to suitably use information from previous trials in selection of the input signal in the current trial with the objective of performance improvement from trial to trial. In this paper, new computationally efficient results are presented for an extension of the ILC approach to the uncertain 2D systems that arise from time and space discretization of partial differential equations. This type of application implies the need to use a spatio–temporal setting for the analysis of the control procedure. The resulting control laws can be computed using Linear Matrix Inequalities (LMIs). An illustrative example is provided.
Źródło:
Control and Cybernetics; 2013, 42, 1; 9-26
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An integrodifferential approach to modeling, control, state estimation and optimization for heat transfer systems
Autorzy:
Rauh, A.
Senkel, L.
Aschemann, H.
Saurin, V. V.
Kostin, G. V.
Powiązania:
https://bibliotekanauki.pl/articles/331160.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
heat transfer
predictive control
optimal control
state estimation
disturbance estimation
distributed parameter systems
sensitivity analysis
wymiana ciepła
regulacja predykcyjna
układ o parametrach rozłożonych
analiza wrażliwości
Opis:
In this paper, control-oriented modeling approaches are presented for distributed parameter systems. These systems, which are in the focus of this contribution, are assumed to be described by suitable partial differential equations. They arise naturally during the modeling of dynamic heat transfer processes. The presented approaches aim at developing finite-dimensional system descriptions for the design of various open-loop, closed-loop, and optimal control strategies as well as state, disturbance, and parameter estimation techniques. Here, the modeling is based on the method of integrodifferential relations, which can be employed to determine accurate, finite-dimensional sets of state equations by using projection techniques. These lead to a finite element representation of the distributed parameter system. Where applicable, these finite element models are combined with finite volume representations to describe storage variables that are—with good accuracy—homogeneous over sufficiently large space domains. The advantage of this combination is keeping the computational complexity as low as possible. Under these prerequisites, real-time applicable control algorithms are derived and validated via simulation and experiment for a laboratory-scale heat transfer system at the Chair of Mechatronics at the University of Rostock. This benchmark system consists of a metallic rod that is equipped with a finite number of Peltier elements which are used either as distributed control inputs, allowing active cooling and heating, or as spatially distributed disturbance inputs.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 1; 15-30
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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