|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
On The Design Of The DISO Controllers For A Neuro-Fuzzy
Vector Control. The Training Data Processing And Some Results |
|
Authors: |
Dan S. Mihai |
|
Published in:
|
(2009).ECMS
2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel
Pedrera. European Council for Modeling and
Simulation. doi:10.7148/2009 ISBN: 978-0-9553018-8-9 23rd
European Conference on Modelling and Simulation, Madrid, June
9-12, 2009 |
|
Citation
format: |
Mihai, D. S. (2009). On The Design Of
The DISO Controllers For A Neuro-Fuzzy Vector Control.The Training Data Processing And Some Results.
ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp.
720-725). European Council for Modeling and Simulation. doi:10.7148/2009-0720-0725 |
|
DOI: |
http://dx.doi.org/10.7148/2009-0720-0725 |
|
Abstract: |
After some good previous results
with neuro-fuzzy controllers SISO type for the
speed or for the current loops in a vector control system, now the design is
orientated to the DISO units. Also, the coexistence of both controllers type
as neuro-fuzzy units are considered: the speed
controller - with a slow bias and the current - with a high commutation rate
for driving directly the inverter. The aim is also to provide a performing
and integral intelligent-based solution for applications were the mechanical
shock must be controlled (such as trams-trains, personal elevators). The
design of such controllers is focused on three aspects: the conditions of a
good data acquisition for training by simulation of a well tuned standard
system, the data pre-processing for the training of the neural networks and
the tuning of the synthesized controllers. The ANFIS methods
is used for generating Sugeno fuzzy
controllers. Different design details and tuning procedures are taken into
account. The paper is continuing a previous work. |
|
Full
text: |
|
