Neural State Estimator for Complex Mechanical Part of Electrical Drive: Neural Network Size and Performance of State Estimation
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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-12-01
|
| Series: | Power Electronics and Drives |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/pead.2018.3.issue-1/pead-2018-0017/pead-2018-0017.xml?format=INT |