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GREPL, R.; SOVA, V.; CHALUPA, J.
Originální název
Adaptive Control of Electro-Mechanical Actuator using Receptive Field Weighted Regression
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
For control of strongly nonlinear electro-mechanical actuator, it is useful to use composite regulator consisting of a PID and feedforward and/or feedback nonlinearities compensator. In this article, we show the application of Receptive Field Weighted Regression for approximation of reduced inverse dynamic model of the actuator. This model neglects the effect of inertia in the model of the actuartor, which solves the problem of difficulty related to practical measurement/estimation of the acceleration from the measured positions. The resulting controller is able to self-tune and further adapt to the changes of parameters due to wear, temperature and other environmental conditions.
Anglický abstrakt
Klíčová slova
nonlinear control; adaptive control; electromechanical actuator; receptive field weighted regression
Klíčová slova v angličtině
Autoři
Rok RIV
2016
Vydáno
01.01.2016
ISBN
978-3-319-23921-7
Kniha
Advanced Mechatronics Solutions
ISSN
2194-5357
Periodikum
Advances in Intelligent Systems and Computing
Stát
Švýcarská konfederace
Strany od
621
Strany do
626
Strany počet
6
BibTex
@inproceedings{BUT117397, author="Robert {Grepl} and Václav {Sova} and Jan {Chalupa}", title="Adaptive Control of Electro-Mechanical Actuator using Receptive Field Weighted Regression", booktitle="Advanced Mechatronics Solutions", year="2016", journal="Advances in Intelligent Systems and Computing", pages="621--626", isbn="978-3-319-23921-7", issn="2194-5357" }