Daniel Wachowiak - Publications - Bridge of Knowledge

Search

Profile photo: dr inż. Daniel Wachowiak

dr inż. Daniel Wachowiak

Filters

total: 11

  • Category
  • Year
  • Options

clear Chosen catalog filters disabled

Catalog Publications

Year 2022
  • Fast Real-Time RDFT- and GDFT-Based Direct Fault Diagnosis of Induction Motor Drive
    Publication

    This paper presents the theoretical analysis and experimental verification of a direct fault harmonic identification approach in a converter-fed electric drive for automated diagnosis purposes. On the basis of the analytical model of the proposed real-time direct fault diagnosis, the fault-related harmonic component is calculated using recursive DFT (RDFT) and Goertzel DFT (GDFT), applied instead of the full spectrum calculations...

    Full text available to download

Year 2021
  • A Universal Gains Selection Method for Speed Observers of Induction Machine
    Publication

    - ENERGIES - Year 2021

    Properties of state observers depend on proper gains selection. Each method of state estimation may require the implementation of specific techniques of finding those gains. The aim of this study is to propose a universal method of automatic gains selection and perform its verification on an induction machine speed observer. The method utilizes a genetic algorithm with fitness function which is directly based on the impulse response...

    Full text available to download

Year 2020
  • Genetic Algorithm Approach for Gains Selection of Induction Machine Extended Speed Observer
    Publication

    - ENERGIES - Year 2020

    The subject of this paper is gains selection of an extended induction machine speed observer. A high number of gains makes manual gains selection difficult and due to nonlinear equations of the observer, well-known methods of gains selection for linear systems cannot be applied. A method based on genetic algorithms has been proposed instead. Such an approach requires multiple fitness function calls; therefore, using a quality index...

    Full text available to download

Year 2018
Year 2017
Year 2016
  • Analiza właściwości rozszerzonego obserwatora prędkości maszyny indukcyjnej
    Publication

    - Year 2016

    Rozszerzony obserwator prędkości został zaproponowany przez prof. Krzemińskiego i jest oparty na rozszerzonym modelu maszyny indukcyjnej, gdzie wprowadzona został nowa zmienna ζ. Jest to nowe podejście do estymacji zmiennych stanu maszyny indukcyjnej i nie wszystkie problemy zostały do tej pory rozwiązane. Zaproponowano wykorzystanie algorytmów ewolucyjnych do doboru wzmocnień obserwatora. W celu redukcji nakładów obliczeniowych...

    Full text to download in external service

Year 2014
Year 2013

seen 1309 times