A New Contribution to the Nonlinear Direct Adaptive Inverse Control Based on Volterra Model Subject to Sinusoidal Disturbance
Authors
Mr. Rodrigo Noronha, Instituto Federal de Educação Ciência e Tecnologia do Maranhão, Imperatriz, Brazil
Abstract
In this paper, a new methodology of nonlinear Direct Adaptive Inverse Control (DAIC) based on Volterra model is proposed. Using the model based on Volterra series, it is possible to track the plant inverse dynamic in a structure composed of linear and nonlinear terms. The proposed formulations for the control methodology were developed for a Volterra series truncated up to the second order kernel. The update of the estimate of the weights vector of Volterra model was performed by the Modified Variable Step Size FLMS (MVSS-FLMS). Since the Volterra model is able to represent nonlinear dynamics of polynomial type, the evaluation of the proposed control methodology was performed on a system described by a Nonlinear AutoRegressive with eXogenous inputs (NARX) model.
1st Mosharaka International Conference on Control and Systems Engineering (MIC-Control 2021)
Congress
2021 Global Congress on Electrical Engineering (GC-ElecEng 2021), 10-12 December 2021, Valencia, Spain
Pages
--1
Topics
Adaptive Control Systems Nonlinear Control Design
ISSN
2227-331X
DOI
BibTeX
@inproceedings{1191ElecEng2021,
title={A New Contribution to the Nonlinear Direct Adaptive Inverse Control Based on Volterra Model Subject to Sinusoidal Disturbance},
author={Rodrigo Noronha},
booktitle={2021 Global Congress on Electrical Engineering (GC-ElecEng 2021)},
year={2021},
pages={--1},
doi={}},
organization={Mosharaka for Research and Studies}
}