Wyniki wyszukiwania - BazTech

1

Dynamic performance of estimator-based speed sensorless control of induction machines using extended and unscented Kalman filters

Horváth K., Kuslits M.

Power Electronics and Drives

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2018

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Vol. 3 (38), No. 1

129--144

EN

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.

2

Nanosatellite Attitude Estimation from Vector Measurements Using SVD-Aided UKF Algorithm

Cilden D., Soken H. E., Hajiev C.

Metrology and Measurement Systems

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2017

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Vol. 24, nr 1

113--125

EN

The integrated Singular Value Decomposition (SVD) and Unscented Kalman Filter (UKF) method can recursively estimate the attitude and attitude rates of a nanosatellite. At first, Wahba’s loss function is minimized using the SVD and the optimal attitude angles are determined on the basis of the magnetometer and Sun sensor measurements. Then, the UKF makes use of the SVD’s attitude estimates as measurement results and provides more accurate attitude information as well as the attitude rate estimates. The elements of “Rotation angle error covariance matrix” calculated for the SVD estimations are used in the UKF as the measurement noise covariance values. The algorithm is compared with the SVD and UKF only methods for estimating the attitude from vector measurements. Possible algorithm switching ideas are discussed especially for the eclipse period, when the Sun sensor measurements are not available.

3

Study of the effectiveness of different Kalman filtering methods and smoothers in object tracking based on simulation tests

Malinowski M., Kwiecień J.

Reports on Geodesy and Geoinformatics

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2014

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Vol. 97

1--22

EN

In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm. The analysis of different methods of Kalman filtration and associated smoothers applied in object tracing was made on the grounds of simulation tests of algorithms designed and presented in this paper. EKF (Extended Kalman Filter) filter based on approximation with (jacobians) partial derivations and derivative-free filters like UKF (Unscented Kalman Filter) and CDKF (Central Difference Kalman Filter) were implemented in comparison. For each method of filtration, appropriate smoothers EKS (Extended Kalman Smoother), UKS (Unscented Kalman Smoother) and CDKS (Central Difference Kalman Smoother) were presented as well. Algorithms performance is discussed on the theoretical base and simulation results of two cases are presented.

4

Algorytmy nieliniowej filtracji stosowane w systemach pozycjonujących

Konatowski S., Kaniewski P.

Elektronika : konstrukcje, technologie, zastosowania

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2012

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Vol. 53, nr 12

100-103

PL

W artykule porównano dokładność procesu estymacji rozszerzonego i bezśladowego filtru Kalmana, filtru cząstkowego oraz filtrów cząstkowych wykorzystujących EKF i UKF. Jakość procesu estymacji przez wybrane filtry nieliniowe została scharakteryzowana poprzez wartości średnie i wariancje błędu średniokwadratowego. Dodatkowo zaprezentowane zostały wyniki złożonych badań symulacyjnych porównujących jakość estymacji analizowanych rodzajów filtrów nieliniowych dla różnych nieliniowości.

EN

The paper compares the accuracy of estimation process for Extended and Unscented Kalman Filters, Particle Filter, augmented Extended and Un- scented Kalman Filters. The accuracy of filtration was evaluated on the basis of means and variances of MSE error. Additionally, simulations results, which are to compare the quality of the analyzed nonlinear filters in presence of different nonlinearities, are shown.

5

Możliwości wykorzystania kontenerowego systemu rozpoznania Marynarki Wojennej

Zieliński M.

Biuletyn Wojskowej Akademii Technicznej

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2007

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Vol. 56, nr sp.2

441-454

PL

W artykule przedstawiono warianty taktyczno-operacyjnego wykorzystania kontenerowego systemu rozpoznania elektronicznego pracującego w zakresach: radiolokacyjnym, radiowym UKF i w podczerwieni.

EN

The paper presented the variants of using the operational-tactical reconnaissance electronic container system which works in radar, radio FM, and infrared waveband.