Detail publikace

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

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

Anglický název

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

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

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 anglicky

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

Vydáno

2016-01-01

ISBN

978-3-319-23921-7

ISSN

2194-5357

Kniha

Advanced Mechatronics Solutions

Časopis

Advances in Intelligent Systems and Computing

Strany od–do

621–626

Počet stran

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"
}