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Wyszukujesz frazę "disturbance estimation" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Application of extended Kalman filter for estimation of periodic disturbance and velocity ripple reduction in PMSM drive
Autorzy:
Niewiara, Ł. J.
Tarczewski, T.
Grzesiak, L M.
Powiązania:
https://bibliotekanauki.pl/articles/201499.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
extended Kalman filter
disturbance estimation
PMSM drive
pulsating torque
velocity ripple reduction
Opis:
In this paper an application of extended Kalman filter (EKF) for estimation and attenuation of periodic disturbance in permanent magnet synchronous motor (PMSM) drive is investigated. Most types of disturbances present into PMSM drive were discussed and described. The mathematical model of the plant is presented. Detailed information about the design process of the disturbance estimator was introduced. A state feedback controller (SFC) with feedforward realizes the regulation and disturbance compensation. The theoretical analysis was supported by experimental tests on the laboratory stand. Both time- and frequency-domain analysis of the estimation results and angular velocity were performed. A significant reduction of velocity ripple has been achieved.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 5; 983-995
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal state observation using quadratic boundedness: Application to UAV disturbance estimation
Autorzy:
Cayero, Julián
Rotondo, Damiano
Morcego, Bernardo
Puig, Vicenç
Powiązania:
https://bibliotekanauki.pl/articles/330391.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
disturbance estimation
unmanned aerial vehicle
optimal estimation
optimal filtering
system modelling
statek powietrzny bezzałogowy
oszacowanie optymalne
modelowanie systemowe
Opis:
This paper presents the design of a state observer which guarantees quadratic boundedness of the estimation error. By using quadratic Lyapunov stability analysis, the convergence rate and the ultimate (steady-state) error bounding ellipsoid are identified as the parameters that define the behaviour of the estimation. Then, it is shown that these objectives can be merged in a scalarised objective function with one design parameter, making the design problem convex. In the second part of the article, a UAV model is presented which can be made linear by considering a particular state and frame of reference. The UAV model is extended to incorporate a disturbance model of variable size. The joint model matches the structure required to derive an observer, following the lines of the proposed design approach. An observer for disturbances acting on the UAV is derived and the analysis of the performances with respect to the design parameters is presented. The effectiveness and main characteristics of the proposed approach are shown using simulation results.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2019, 29, 1; 99-109
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
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 1-3 z 3

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