Detail publikace

Adaptive Control of Electro-Mechanical Actuator using Receptive Field Weighted Regression

GREPL, R. SOVA, V. CHALUPA, J.

Originální název

Adaptive Control of Electro-Mechanical Actuator using Receptive Field Weighted Regression

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

nonlinear control; adaptive control; electromechanical actuator; receptive field weighted regression

Autoři

GREPL, R.; SOVA, V.; CHALUPA, J.

Rok RIV

2015

Vydáno

1. 1. 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"
}