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Wyszukujesz frazę "internal model control observer" wg kryterium: Temat


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Tytuł:
Predictive current control for permanent magnet synchronous motor based on internal model control observer
Autorzy:
Tang, Min'at
Wang, Chenyu
Luo, Yinhang
Tematy:
internal model control observer
MPC
PMSM
predictive current control
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/2086720.pdf  Link otwiera się w nowym oknie
Opis:
The model predictive current control (MPCC) of the permanent magnet synchronous motor (PMSM) is highly dependent on motor parameters, and a parameter mismatch will cause the system performance degradation. Therefore, a strategy based on an internal model control (IMC) observer is proposed to correct the mismatch parameters. Firstly, based on the MPCC strategy of the PMSM, according to the dynamic model of the PMSM in a rotating orthogonal coordinate system, -axis and -axis current IMC observers are designed, and the stability derivation is carried out. It is proved that the observer can estimate -axis and -axis disturbance components caused by a parameter mismatch without static error. Then, the estimated disturbance component is compensated for by the reference voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system. voltage prediction expression. Finally, the effectiveness of the proposed strategy is verified in two different conditions. The experimental results show that the proposed control strategy can effectively compensate for the parameter mismatch disturbance in MPCC for PMSM, improve the dynamic and static performance of the system, and improve the robustness of the system.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neural Network Evaluation of Model-Based Residuals in Fault Detection of Time Delay Systems
Autorzy:
Zitek, P.
Mankova, R.
Hlava, J.
Tematy:
wykrywanie błędu
model anizochroniczny
obserwator stanów
sterowanie wewnętrzne
sieć neuronowa
model-based fault detection
anisochronic model
state observer
internal model control
artificial neural networks
Pokaż więcej
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:
https://bibliotekanauki.pl/articles/908288.pdf  Link otwiera się w nowym oknie
Opis:
Model-based fault detection becomes rather questionable if a supervised plant belongs to the class of systems with distributed parameters and significant delays. Two methods of fault detection have been developed for this class of plants, namely a method of functional (anisochronic) state observer and a modified internal model control scheme adopted for that purpose. Both these model schemes are employed to generate residuals, i.e. differences suitable to watch whether a malfunction of the control operation has occurred. Continuous evaluation of residuals is provided by means of a dynamic application of artificial neural networks (ANNs). This evaluation is carried out on the basis of prediction of time series evolution, where the accordance obtained between the prediction and measured outputs is used as a classification criterion. Implementation of both the methods is demonstrated on a laboratory-scale heat transfer set-up, making use of the Real-Time Matlab software.
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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