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Wyszukujesz frazę "Reference System" wg kryterium: Temat


Wyświetlanie 1-5 z 5
Tytuł:
Electronic flight data acquisition system for remotely piloted aircraft
Autorzy:
Rusiecki, T.
Skowronek, M.
Powiązania:
https://bibliotekanauki.pl/articles/1189977.pdf
Data publikacji:
2017
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
centrala danych aerometrycznych
system zbierania danych
sensor bezprzewodowy
RPAS
Air Data Computer
Attitude and Heading Reference System
data acquisition system
wireless sensor
Opis:
This article presents data acquisition system developed for the use primarily in Remotely Piloted Aircraft Systems. The system consists of several modules which independently function as Air Data Computer, Attitude and Heading Reference System and Flight Data Recorder. Each module works independently from other modules and also provides capability of real time data transmission. The system is capable of wireless data transmission via ZigBee wireless data protocol. The research may be considered as important and valuable due to the fact that it describes innovative concept of “wireless sensors” system. These type of systems are currently only beginning to appear in commercial applications and such wireless systems appear to be a future of metrology in RPAS applications. Features of each module are stated in the article. The prototype device has been tested and confirmed to be operationally functional.
Źródło:
Interdisciplinary Journal of Engineering Sciences; 2017, 5, 1; 11--26
2300-5874
Pojawia się w:
Interdisciplinary Journal of Engineering Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rotor Resistance Estimator based on Virtual Current Sensor Algorithm for Induction Motor Drives
Autorzy:
Adamczyk, Michał
Powiązania:
https://bibliotekanauki.pl/articles/1193854.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor drive
rotor resistance estimator
model reference adaptive system
virtual current sensor
fault tolerant control
Opis:
In this article, model reference adaptive system (MRAS)-based estimator of a rotor resistance of an induction motor (IM) is presented. In contrast to the solutions known from the literature, the reference model of this estimator uses the measured values of the phase current and the adaptive part is a virtual current sensor. The article presents an accurate description of the algorithm taking into account the discrete equations for possible practical implementation in the microprocessor system. In the first step, the impact of motor parameters to stator current estimation quality in the adaptive model was checked. Subsequently, simulation tests of the proposed rotor resistance estimator were carried out for the field-oriented control of the induction motor drive system with a model of an induction motor with fixed parameters and an induction motor with a changing main inductance according to a magnetisation curve. The analysis of the estimator’s work showed its high efficiency and insensitivity to changes in the IM main inductance.
Źródło:
Power Electronics and Drives; 2020, 5, 40; 143-156
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sensorless Induction Motor Drive Based on Model Reference Adaptive System Scheme Utilising a Fictitious Resistance
Autorzy:
Hajji, Soufien
Chehida, Ramzi Ben
Zayani, Hichem
Bouaziz, Noomen
Zorgani, Youssef Agrebi
Powiązania:
https://bibliotekanauki.pl/articles/1193902.pdf
Data publikacji:
2020
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
indirect stator flux-oriented controller model
ISFOC model
model reference adaptive system
MRAS
fictitious resistance
rotor speed estimation
induction motor
IM
Opis:
This article presents a new development of an indirect stator flux-oriented controller for sensorless speed induction motor drive utilising instantaneous and steady-state values, respectively, of a fictitious resistance symbolised as R_f. The dimension of the fictitious quantity, in this context, is the ohm, which is the difference between the stator d- and q-axis fictitious resistances. However, from the measurement of the stator voltage and currents of the machine, two independent resistance estimators are built. Therefore, the first is considered as a reference model of the induction machine (IM), and the second is considered as an adjustable model. Subsequently, the error between the states of the two models is used to drive a suitable adaptation mechanism that generates the estimation of the speed, for the adjustable model. Furthermore, the structure of the proposed estimator is free from stator resistance and eliminates the requirement of any flux computation. All the detailed simulation study is carried out in MATLAB/Simulink to validate the proposed method and to highlight the robustness and the stability of the proposed model reference adaptive system estimator.
Źródło:
Power Electronics and Drives; 2020, 5, 40; 199-212
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A very-low-speed sensorless control induction motor drive with online rotor resistance tuning by using MRAS scheme
Autorzy:
Agrebi Zorgani, Y.
Jouili, M.
Koubaa, Y.
Boussak, M.
Powiązania:
https://bibliotekanauki.pl/articles/1193675.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor
stator flux orientation model
model reference adaptive system
MRAS
rotor speed estimation
resistance estimation
programmable cascaded low-pass filters
PCLPF
Opis:
A sensorless indirect stator-flux-oriented control (ISFOC) induction motor drive at very low frequencies is presented herein. The model reference adaptive system (MRAS) scheme is used to estimate the speed and the rotor resistance simultaneously. However, the error between the reference and the adjustable models, which are developed in the stationary stator reference frame, is used to drive a suitable adaptation mechanism that generates the estimates of speed and the rotor resistance from the stator voltage and the machine current measurements. The stator flux components in the stationary reference frame are estimated through a pure integration of the back electro-motive force (EMF) of the machine. When the machine is operated at low speed, the pure integration of the back EMF introduces an error in flux estimation which affects the performance torque and speed control. To overcome this problem, pure integration is replaced with a programmable cascaded low-pass filter (PCLPF). The stability analysis method of the MRAS estimator is verified in order to show the robustness of the rotor resistance variations. Experimental results are presented to prove the effectiveness and validity of the proposed scheme of sensorless ISFOC induction motor drive.
Źródło:
Power Electronics and Drives; 2018, 3, 38; 171-186
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Very-Low-Speed Sensorless Control Induction Motor Drive with Online Rotor Resistance Tuning by Using MRAS Scheme
Autorzy:
Zorgani, Youssef Agrebi
Jouili, Mabrouk
Koubaa, Yassine
Boussak, Mohamed
Powiązania:
https://bibliotekanauki.pl/articles/1193692.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
induction motor
stator flux orientation model
model reference adaptive system
MRAS
rotor speed estimation
resistance estimation
programmable cascaded low-pass filters
PCLPF
Opis:
A sensorless indirect stator-flux-oriented control (ISFOC) induction motor drive at very low frequencies is presented herein. The model reference adaptive system (MRAS) scheme is used to estimate the speed and the rotor resistance simultaneously. However, the error between the reference and the adjustable models, which are developed in the stationary stator reference frame, is used to drive a suitable adaptation mechanism that generates the estimates of speed and the rotor resistance from the stator voltage and the machine current measurements. The stator flux components in the stationary reference frame are estimated through a pure integration of the back electro-motive force (EMF) of the machine. When the machine is operated at low speed, the pure integration of the back EMF introduces an error in flux estimation which affects the performance torque and speed control. To overcome this problem, pure integration is replaced with a programmable cascaded low-pass filter (PCLPF). The stability analysis method of the MRAS estimator is verified in order to show the robustness of the rotor resistance variations. Experimental results are presented to prove the effectiveness and validity of the proposed scheme of sensorless ISFOC induction motor drive.
Źródło:
Power Electronics and Drives; 2019, 4, 39; 125-140
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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