- Tytuł:
- Neural state estimator for complex mechanical part of electrical drive: neural network size and performance of state estimation
- Autorzy:
-
Łuczak, D.
Wójcik, A. - Powiązania:
- https://bibliotekanauki.pl/articles/1193680.pdf
- Data publikacji:
- 2018
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
two-mass drive
neural network
simulation studies
non-linear state estimation - Opis:
- This paper presents the results of simulation research of an off-line-trained, feedforward neural-network-based state estimator. The investigated system is the mechanical part of an electrical drive characterised by elastic coupling with a working machine, modelled as a dual-mass system. The aim of the research was to find a set of neural network structures giving useful and repeatable results of the estimation. The mechanical resonance frequency of the system has been adopted at the level of 9.3-10.3 Hz. The selected state variables of the mechanical system are load, speed and stiffness torque of the shaft.
- Źródło:
-
Power Electronics and Drives; 2018, 3, 38; 205-216
2451-0262
2543-4292 - Pojawia się w:
- Power Electronics and Drives
- Dostawca treści:
- Biblioteka Nauki
Artykuł