zolfagharian-multiobjective-2014.pdf (3.76 MB)
A multi-objective, active fuzzy force controller in control of flexible wiper system
journal contribution
posted on 2014-01-01, 00:00 authored by Ali ZolfagharianAli Zolfagharian, S E Ghasemi, M ImaniChaotic vibration has been identified in the flexible automotive wiper blade at certain wiping speeds. This irregular vibration not only decreases the wiping efficiency, but also degrades the driving comfort. A reliable nonlinear system identification namely nonlinear auto regressive exogenous Elman neural network (NARXENN) was adopted in first stage of this survey to model the flexible dynamics of wiper blade with acquired experimental data. In controller design part, taking into account environmental and external disturbances that cause changes in the dynamic characteristics of the system demanded a robust controller to make a trade off between the worst and best scenario. An active fuzzy force controller (AFLC) supervised by multi objective genetic algorithm (MOGA) is developed to keep both interests of noise and vibration redaction of automobile wiper blade at the reasonable rise time.
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Journal
Latin American journal of solids and structuresVolume
11Issue
9Pagination
1490 - 1514Publisher
Marcílio AlvesLocation
São Paulo, BrazilPublisher DOI
Link to full text
ISSN
1679-7817eISSN
1679-7825Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
[2014, Marcílio Alves]Usage metrics
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