Publication detail

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

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

English title

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

Type

Paper in proceedings (conference paper)

Language

en

Original abstract

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.

Keywords in English

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

Released

2016-01-01

ISBN

978-3-319-23921-7

ISSN

2194-5357

Book

Advanced Mechatronics Solutions

Journal

Advances in Intelligent Systems and Computing

Pages from–to

621–626

Pages count

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"
}