Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "linear estimation" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 48
Tytuł:
The Estimating of the Conditional Density with Application to the Mode Function in Scalar-On-Function Regression Structure: Local Linear Approach with Missing at Random
Szacowanie gęstości warunkowej z wykorzystaniem modelu w strukturze regresji skalarnej na funkcji: lokalne podejście liniowe z losowym brakiem
Autorzy:
Bouabsa, Wahiba
Powiązania:
https://bibliotekanauki.pl/articles/2196129.pdf
Data publikacji:
2023
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
functional data
local linear estimation
conditional mode function
functional non-parametric statistics
dane funkcjonalne
lokalna estymacja liniowa
funkcja trybu warunkowego
funkcjonalna statystyka nieparametryczna
Opis:
The aim of this research was to study a nonparametric estimator of the density and mode function of a scalar response variable given a functional variable, when the observations are i.i.d. This proposed estimator is given by combining Missing At Random (MAR) with the local linear approach. Finally, a comparison study based on simulated data is also provided to illustrate the finite sample performances and the usefulness of the local linear approach with MAR to the presence of even a small proportion of outliers in the data.
Celem analizy było zbadanie nieparametrycznego estymatora funkcji gęstości i trybu skalarnej zmiennej odpowiedzi na zmienną funkcyjną, gdy obserwacje są i.i.d. Ten proponowany estymator jest tworzony przez połączenie metody Missing At Random (MAR) z lokalnym podejściem liniowym. Na koniec zapewniono również badanie porównawcze oparte na symulowanych danych, aby zilustrować wydajność skończonej próbki i przydatność lokalnego podejścia liniowego z MAR do obecności nawet niewielkiej części wartości odstających w danych.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2023, 27, 1; 17-32
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fractal Dimension as Robust Estimate of Low Carbon Steels Hardness
Autorzy:
Zając, Krzysztof
Płatek, Karolina
Wachel, Paweł
Łatka, Leszek
Powiązania:
https://bibliotekanauki.pl/articles/2202985.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
fractal dimension
linear regression
robust hardness estimation
image processing
low carbon steel
Opis:
Application of computational methods in engineering and science constantly increases, which is also visible in sector of material science, often with promising results. In following paper, authors would like to propose fractal dimension, a mathematical method of quantifying self-similarity and complexity of spatial patterns, as robust method of hardness estimation of low carbon steels. A dataset of microstructure images and corresponding Vickers hardness measurements of S235JR steel under different delivery conditions was created. Then, three different computational methods for evaluation of materials hardness based on microstructure image were tested. In this paper those methods are called: (i) Otsu-based index, (ii) fractal dimension index and (iii) vision transformer index. The results were compared with method used in literature for similar problems. Comparison showed that fractal dimension performs better than other evaluated methods, in terms of median absolute error, which value was equal to 4.12 HV1, which is significantly lower than results achieved by Otsu-based index and vision transformer index, which were 4.49 HV1 and 5.07 HV1 respectively. Those results can be attributed to the relative robustness of fractal dimension index, when compared to other methods. Robust estimation is preferable, due to the high amount of noise in the dataset, which is a consequence of the nature of used material.
Źródło:
Advances in Science and Technology. Research Journal; 2022, 16, 5; 335--344
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parameter identifiability for nonlinear LPV models
Autorzy:
Srinivasarengan, Krishnan
Ragot, José
Aubrun, Christophe
Maquin, Didier
Powiązania:
https://bibliotekanauki.pl/articles/2134053.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
parameter identifiability
parameter estimation
linear parameter varying model
parity space approach
null space
identyfikacja parametrów
szacowanie parametrów
spacja zerowa
Opis:
Linear parameter varying (LPV) models are being increasingly used as a bridge between linear and nonlinear models. From a mathematical point of view, a large class of nonlinear models can be rewritten in LPV or quasi-LPV forms easing their analysis. From a practical point of view, that kind of model can be used for introducing varying model parameters representing, for example, nonconstant characteristics of a component or an equipment degradation. This approach is frequently employed in several model-based system maintenance methods. The identifiability of these parameters is then a key issue for estimating their values based on which a decision can be made. However, the problem of identifiability of these models is still at a nascent stage. In this paper, we propose an approach to verify the identifiability of unknown parameters for LPV or quasi-LPV state-space models. It makes use of a parity-space like formulation to eliminate the states of the model. The resulting input-output-parameter equation is analyzed to verify the identifiability of the original model or a subset of unknown parameters. This approach provides a framework for both continuous-time and discrete-time models and is illustrated through various examples.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 2; 255--269
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sensor location for travel time estimation based on the user equilibrium principle: Application of linear equations
Autorzy:
Cao, Shuhan
Shao, Hu
Shao, Feng
Powiązania:
https://bibliotekanauki.pl/articles/2055143.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
travel time estimation
sensor location
user equilibrium principle
linear equations
szacowanie czasu podrózy
lokalizacja czujnika
równanie liniowe
Opis:
Travel time is a fundamental measure in any transportation system. With the development of technology, travel time can be automatically collected by a variety of advanced sensors. However, limited by objective conditions, it is difficult for any sensor system to cover the whole transportation network in real time. In order to estimate the travel time of the whole transportation network, this paper gives a system of linear equations which is constructed by the user equilibrium (UE) principle and observed data. The travel time of a link which is not covered by a sensor can be calculated by using the observed data collected by sensors. In a typical transportation network, the minimum number and location of sensors to estimate the travel time of the whole network are given based on the properties of the solution of a systems of linear equations. The results show that, in a typical network, the number and location of sensors follow a certain law. The results of this study can provide reference for the development of transportation and provide a scientific basis for transportation planning.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 1; 23--33
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A fault estimation and fault-tolerant control based sliding mode observer for LPV descriptor systems with time delay
Autorzy:
Hamdi, Habib
Rodrigues, Mickael
Rabaoui, Bouali
Benhadj Braiek, Naceur
Powiązania:
https://bibliotekanauki.pl/articles/1838208.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault estimation
fault-tolerant control
LPV descriptor system
sliding mode observer
time delay
LMIs
linear matrix inequalities
estymacja błędu
sterowanie odporne na uszkodzenia
sterowanie ślizgowe
liniowa nierówność macierzowa
Opis:
This paper considers the problem of fault-tolerant control (FTC) and fault reconstruction of actuator faults for linear parameter varying (LPV) descriptor systems with time delay. A polytopic sliding mode observer (PSMO) is synthesized to achieve simultaneous reconstruction of LPV polytopic descriptor system states and actuator faults. Exploiting the reconstructed actuator faults and state estimates, a fault-tolerant controller is designed to compensate the impact of actuator faults on system performance by stabilizing the closed-loop LPV delayed descriptor system. Besides, the controller and PSMO gains are obtained throughout the resolution of linear matrix inequalities (LMIs) using convex optimization techniques. The developed PSMO could force the output estimation error to converge to zero in a finite time when the actuators faults are bounded through the reinjection of the output estimation error via a nonlinear switching term. Simulation results applied to a given numerical system are presented to highlight the superiority and effectiveness of the proposed approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 2; 247-258
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An interval Kalman filter enhanced by lowering the covariance matrix upper bound
Autorzy:
Tran, Tuan Anh
Jauberthie, Carine
Trave-Massuyés, Louise
Lu, Quoc Hung
Powiązania:
https://bibliotekanauki.pl/articles/1838206.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
uncertain linear systems
Kalman filter
interval analysis
estimation
covariance matrix
układ liniowy
filtr Kalmana
analiza interwałowa
macierz kowariancji
Opis:
This paper proposes a variance upper bound based interval Kalman filter that enhances the interval Kalman filter based on the same principle proposed by Tran et al. (2017) for uncertain discrete time linear models. The systems under consideration are subject to bounded parameter uncertainties not only in the state and observation matrices, but also in the covariance matrices of the Gaussian noises. By using the spectral decomposition of a symmetric matrix and by optimizing the gain matrix of the proposed filter, we lower the minimal upper bound on the state estimation error covariance for all admissible uncertainties. This paper contributes with an improved algorithm that provides a less conservative error covariance upper bound than the approach proposed by Tran et al. (2017). The state estimates are determined using interval analysis in order to enclose the set of all possible solutions of the classical Kalman filter consistent with the uncertainties.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 2; 259-269
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Derivation of Equations for a Size Distribution of Spherical Particles in Non-Transparent Materials
Autorzy:
Gurgul, Daniel
Burbelko, Andriy
Wiktor, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/2056033.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
planimetric analysis
linear analysis
estimation of diameter sizes distribution
probability density function
analiza planimetryczna
analiza liniowa
szacowanie rozkładu wielkości średnic
funkcja gęstości prawdopodobieństwa
Opis:
This paper presents a new proposition on how to derive mathematical formulas that describe an unknown Probability Density Function (PDF3) of the spherical radii (r3) of particles randomly placed in non-transparent materials. We have presented two attempts here, both of which are based on data collected from a random planar cross-section passed through space containing three-dimensional nodules. The first attempt uses a Probability Density Function (PDF2) the form of which is experimentally obtained on the basis of a set containing two-dimensional radii (r2). These radii are produced by an intersection of the space by a random plane. In turn, the second solution also uses an experimentally obtained Probability Density Function (PDF1). But the form of PDF1 has been created on the basis of a set containing chord lengths collected from a cross-section. The most important finding presented in this paper is the conclusion that if the PDF1 has proportional scopes, the PDF3 must have a constant value in these scopes. This fact allows stating that there are no nodules in the sample space that have particular radii belonging to the proportional ranges the PDF1.
Źródło:
Journal of Casting & Materials Engineering; 2021, 5, 4; 53--60
2543-9901
Pojawia się w:
Journal of Casting & Materials Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fast one-cycle frequency estimation of a single sinusoid in noise using downsampled linear prediction model
Autorzy:
Duda, Krzysztof
Zieliński, Tomasz P.
Powiązania:
https://bibliotekanauki.pl/articles/2052172.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
frequency estimation
linear prediction
Prony method
smart DFT
Opis:
A new solution to the problem of frequency estimation of a single sinusoid embedded in the white Gaussian noise is presented. It exploits, approximately, only one signal cycle, and is based on the well-known 2nd order autoregressive difference equation into which a downsampling is introduced. The proposed method is a generalization of the linear prediction based Prony method for the case of a single undamped sinusoid. It is shown that, thanks to the proposed downsampling in the linear prediction signal model, the overall variance of the least squares solution of frequency estimation is decreased, when compared to the Prony method, and locally it is even close to the Cramér-Rao Lower Bound, which is a significant improvement. The frequency estimation variance of the proposed solution is comparable with, computationally more complex, the Matrix Pencil and the Steiglitz-McBride methods. It is shown that application of the proposed downsampling to the popular smart DFT frequency estimation method also significantly reduces the method variance and makes it even better than the least squares smart DFT. The noise immunity of the proposed solution is achieved simultaneously with the reduction of computational complexity at the cost of narrowing the range of measured frequencies, i.e. a sinusoidal signal must be sufficiently oversampled to apply the proposed downsampling in the autoregressive model. The case of 64 samples per period with downsampling up to 16, i.e. 1/4th of the cycle, is presented in detail, but other sampling scenarios, from 16 to 512 samples per period, are considered as well.
Źródło:
Metrology and Measurement Systems; 2021, 28, 4; 661-672
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Small area quantile estimation based on distribution function using linear mixed models
Autorzy:
Stachurski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/1837916.pdf
Data publikacji:
2021-06-30
Wydawca:
Uniwersytet Ekonomiczny w Poznaniu
Tematy:
quantile
distribution function
small area estimation
survey sampling
linear mixed model
Monte Carlo simulation
Opis:
In economic studies researchers are oeftn interested in the estimation of the distribution function or certain functions of the distribution function such as quantiles. This work focuses on the estimation quantiles as inverses of the estimates of the distribution function in the presence of auxiliary information that is correlated with the study variable. In the paper a plug-in estimator of the distribution function is proposed which is used to obtain quantiles in the population and in the small areas. Performance of the proposed method is compared with other estimators of the distribution function and quantiles using the simulation study. The obtained results show that the proposed method usually has smaller relative biases and relative RMSE comparing to other methods of obtaining quantiles based on inverting the distribution function.
Źródło:
Economics and Business Review; 2021, 7, 2; 97-114
2392-1641
Pojawia się w:
Economics and Business Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Distributed fault estimation of multi-agent systems using a proportional-integral observer: A leader-following application
Autorzy:
Farrera, Beltrán
López-Estrada, Francisco-Ronay
Chadli, Mohammed
Valencia-Palomo, Guillermo
Gómez-Peñate, Samuel
Powiązania:
https://bibliotekanauki.pl/articles/330554.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multiagent systems
fault estimation
state observer
fault observer
linear matrix inequalities
system wieloagentowy
estymacja błędu
obserwator stanu
liniowe nierówności macierzowe
Opis:
This paper proposes a methodology for observer-based fault estimation of leader-following linear multi-agent systems subject to actuator faults. First, a proportional-integral distributed fault estimation observer is developed to estimate both actuator faults and states of each follower agent by considering directed and undirected graph topologies. Second, based on the proposed quadratic Lyapunov equation, sufficient conditions for the asymptotic convergence of the observer are obtained as a set of linear matrix inequalities. Finally, a numerical example is provided to illustrate the proposed approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 551-560
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Non-Linear Regression Models for Volume Estimation of Gmelina arborea (Roxb.) in Uyo Ravine Plantation, Akwa Ibom State, Nigeria
Autorzy:
Oyebade, B. A.
Aigbe, H. I.
Eguakun, F. S.
Edem, M. A.
Powiązania:
https://bibliotekanauki.pl/articles/1030779.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Gmelina arborea
Models
Non-linear Regression
Volume estimation
Opis:
This research elucidates non linear relationship for volume estimation of Gmelina arborea in Uyo Ravine plantation, Akwa Ibom State Nigeria. Series of functional models were developed and the estimates of measurement of stand parameters such as diameter at breast height (DBH), stump diameter (Dst), total height (THT), merchantable height, (MTH), merchantable length (MLT) were used for modeling procedures for best fit models for stand volume estimation. Twenty temporary sample plots of 20m x 20m were randomly established without replacement and all trees in each plot were measured. Quantitative data collected were subjected to correlation and regression analyses for determination of empirical relationship between the growth variables. The developed models for volume estimation were evaluated by confirming the goodness of fit of the model and the statistical significance of the parameters using statistical relevant fit indices and criteria. The results of the study showed there were significant associations between the Gmelina arborea growth characteristics both at the individual and stand levels. The correlation analyses revealed a significant association with coefficient of correlation (r) ranging from 0.576 – 0.836 among the Gmelina arborea growth characteristics at the stand level while the association between the volume and diameter at breast height gave r-value of 0.978 which was very significant P<0.05. Similarly, the results of the study in testing for relationship among the growth parameters using volume models showed that the non linear regression volume models significantly fulfilled the criteria for model selection or goodness of fit among cubic, logarithm and quadratic non linear regression models with their coefficient of determination (R2) ranging from 0.640-0.881 and low values of standard error of the estimate (SEE) at P< 0.05. These models were recommended for volume estimation of Gmelina arborea in the study area and other Gmelina arborea plantations for effective plantation forest management in Nigeria.
Źródło:
World Scientific News; 2020, 145; 46-61
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On empirical best linear unbiased predictor under a Linear Mixed Model with correlated random effects
O empirycznym najlepszym liniowym nieobciążonym predyktorze dla pewnego modelu mieszanego
Autorzy:
Krzciuk, Małgorzata K.
Powiązania:
https://bibliotekanauki.pl/articles/425054.pdf
Data publikacji:
2020
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Empirical Best Linear Unbiased Predictor
small area estimation
Monte Carlo simulation analyses
empiryczny najlepszy liniowy nieobciążony predyktor
statystyka małych obszarów
badanie symulacyjne
Opis:
The problem of small area prediction is considered under a Linear Mixed Model. The article presents a proposal of an empirical best linear unbiased predictor under a model with two correlated random effects. The main aim of the simulation analyses is a study of an influence of the occurrence of a correlation between random effects on properties of the predictor. In the article, an increase of the accuracy due to the correlation between random effects and an influence of model misspecification in cases of the lack of correlation between random effects are analyzed. The problem of the estimation of the Mean Squared Error of the proposed predictor is also considered. The Monte Carlo simulation analyses and the application were prepared in R language.
Zagadnieniem poruszanym w artykule jest problem predykcji w przypadku pewnego modelu należącego do klasy liniowych modeli mieszanych. W opracowaniu została przedstawiona propozycja empirycznego najlepszego liniowego nieobciążonego predyktora dla liniowego modelu mieszanego z dwoma skorelowanymi efektami losowymi. Głównym celem opracowania jest symulacyjne zbadanie wpływu występowania zależności między efektami losowymi na własności rozważanego predyktora. W artykule podjęto również problem estymacji błędu średniokwadratowego zaproponowanego predyktora. Badanie symulacyjne oraz przykład przygotowano z użyciem programu R.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2020, 24, 2; 19-29
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estymacja liczby cudzoziemców w Polsce z wykorzystaniem metody capture-recapture
Estimation of the number of foreigners in Polandusing the capture-recapture method
Autorzy:
Beręsewicz, Maciej
Gudaszewski, Grzegorz
Szymkowiak, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/962815.pdf
Data publikacji:
2019
Wydawca:
Główny Urząd Statystyczny
Tematy:
estymacja liczby cudzoziemców
populacja trudna do zbadania
analiza log-liniowa
rejestry administracyjne
metoda capture-recapture
estimation the number of foreigners in poland
hard-to-survey population
capture-recapture method
log-linear analysis
administrative registers
Opis:
Celem artykułu jest przedstawienie metody badań oraz wyników szacunku populacji cudzoziemców przebywających w Polsce. W badaniu wykorzystano administracyjne źródła danych. Zastosowano metodę capture-recapture bazującą na modelach log-liniowych. Szacuje się, że w 2015 i 2016 r. na terenie Polski mogło przebywać odpowiednio ok. 500 tys. (przyjmując 95-procentowy przedział ufności – od 369 tys. do 724 tys.) oraz ok. 744 tys. (od 601 tys. do 943 tys.) cudzoziemców. Jest to pierwsza tego typu kompleksowa analiza dotycząca próby estymacji liczby cudzoziemców w Polsce, która wpisuje się w nurt badań nad populacjami trudnymi do zbadania. Należy jednak mieć na uwadze konieczność spełnienia założeń tej metody, co również stanowił przedmiot rozważań autorów.
The aim of this paper is to present the methodology and the results of the estimation of the number of foreigners staying in Poland. Administrative data sources were used in the research. The authors adopted the capture-recapture method based on log-linear models. As a result, the number of foreigners staying in Poland in 2015 and 2016 has been estimated at around 500,000 persons (95% CI: 369,000–724,000) and around 744,000 persons (601,000–943,000), respectively. The study is the first comprehensive analysis of this kind which aims at estimating the number of foreigners in Poland, and thus fits in the current of research on hard-to-survey populations. It has to be remembered, however, that capture-recapture method requires close observance of its strict rules in order to be effective, which is also discussed in depth in the paper.
Źródło:
Wiadomości Statystyczne. The Polish Statistician; 2019, 64, 10; 7-35
0043-518X
Pojawia się w:
Wiadomości Statystyczne. The Polish Statistician
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
State estimation of networked control systems over limited capacity and dropout channels
Autorzy:
Liu, Qingquan
Ding, Rui
Chen, Chunqiang
Powiązania:
https://bibliotekanauki.pl/articles/229800.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
linear time-invariant systems
limited capacity
observability
state estimation
networked control
data rate
Opis:
This paper investigates state estimation of linear time-invariant systems where the sensors and controllers are geographically separated and connected over limited capacity, additive white Gaussian noise (AWGN) communication channels. Such channels are viewed as dropout (erasure) channels. In particular, we consider the case with limited data rates, present a necessary and sufficient condition on the data rate for mean square observability over an AWGN channel. The system is mean square observable if the data rate of the channel is larger than the lower bound given. It is shown in our results that there exist the inherent tradeoffs among the limited data rate, dropout probability, and observability. An illustrative example is given to demonstrate the effectiveness of the proposed scheme.
Źródło:
Archives of Control Sciences; 2019, 29, 4; 687-697
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic performance of estimator-based speed sensorless control of induction machines using extended and unscented Kalman filters
Autorzy:
Horváth, K.
Kuslits, M.
Powiązania:
https://bibliotekanauki.pl/articles/1193590.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction machine
speed sensorless control
field-oriented control
FOC
non-linear state estimation
load torque estimation
extended Kalman filter
EKF
unscented Kalman filter
UKF
Opis:
This paper presents an estimator-based speed sensorless field-oriented control (FOC) method for induction machines, where the state estimator is based on a self-contained, non-linear model. This model characterises both the electrical and the mechanical behaviours of the machine and describes them with seven state variables. The state variables are estimated from the measured stator currents and from the known stator voltages by using an estimator algorithm. An important aspect is that one of the state variables is the load torque and, hence, it is also estimated by the estimator. Using this feature, the applied estimator-based speed sensorless control algorithm may be operated adequately besides varying load torque. In this work, two different variants of the control algorithm are developed based on the extended and the unscented Kalman filters (EKF, UKF) as state estimators. The dynamic performance of these variants is tested and compared using experiments and simulations. Results show that the variants have comparable performance in general, but the UKF-based control provides better performance if a stochastically varying load disturbance is present.
Źródło:
Power Electronics and Drives; 2018, 3, 38; 129-144
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 48

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies