Adaptive Composite Control of Electronic Throttle using Local Learning Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F10%3APU88107" target="_blank" >RIV/00216305:26210/10:PU88107 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive Composite Control of Electronic Throttle using Local Learning Method
Original language description
This paper deals with an application of receptive field weighted regression (RFWR) method for the composite control of automotive electromechanical throttle. Simulation experiments use the plant model optimized for hardware-in-the-loop simulation and tuned according to experimental results. Composite controller consists of PID and feedforward inverse dynamics implemented using RFWR. Because of significant dry friction in the system, two independent RFWR approximators are used to solve the problem of discontinuity at zero velocity. Satisfactory simulation results are presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2010 IEEE International Symposium on Industrial Electronics
ISBN
978-1-4244-6391-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Bari
Event location
Bari
Event date
Jul 4, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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