2007 European Conference on Power Electronics and Applications 2007
DOI: 10.1109/epe.2007.4417557
|View full text |Cite
|
Sign up to set email alerts
|

Robust speed and position control based on neural and fuzzy techniques

Abstract: The paper deals with the problem of robust speed and position control of electrical servo-drives. A robust speed controller is developed using a non-linear PI controller. The controller's non-linear characteristic is obtained by applying computational intelligence methods such as fuzzy logic or neuro techniques. Simulations and laboratory results validate the robustness of a servo-drive with a PMSM

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2009
2009
2018
2018

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 3 publications
0
1
0
Order By: Relevance
“…determined during an off-line optimization procedure, or can be tuned continuously during normal operation of the drive in on-line mode. Examples of off-line and on-line trained controllers can be found in [6][7][8][9][10][11].…”
Section: Nonlinear and Adaptive Speed Controllersmentioning
confidence: 99%
“…determined during an off-line optimization procedure, or can be tuned continuously during normal operation of the drive in on-line mode. Examples of off-line and on-line trained controllers can be found in [6][7][8][9][10][11].…”
Section: Nonlinear and Adaptive Speed Controllersmentioning
confidence: 99%