Search
Abstract
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 of the observer. System identification using least-squares estimation is implemented to determine the dynamic properties of the observer based on the estimation error signal. The influence of sampling time as well as signal length on the system identification has been studied. The results of gains selection using the proposed method have been compared with results obtained using the approach based on the placement of the poles of linearized estimation error equations. The introduced method delivers results comparable with analytical methods and does not require prior preparation specific to the implemented speed observer, such as linearization.
Citations
-
2
CrossRef
-
0
Web of Science
-
2
Scopus
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en14206790
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
ENERGIES
no. 14,
ISSN: 1996-1073 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Wachowiak D.: A Universal Gains Selection Method for Speed Observers of Induction Machine// ENERGIES -Vol. 14,iss. 20 (2021), s.6790-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/en14206790
- Verified by:
- Gdańsk University of Technology
seen 134 times
Recommended for you
Parameter selection of an adaptive PI state observer for an induction motor
- T. Białoń,
- A. Lewicki,
- M. Pasko
- + 1 authors