A Novel Four Rotor Aircraft Adaptive Control Algorithm Based on the Optimized Fuzzy Neural Network

DOI

10.2991/icmmct-17.2017.122How to use a DOI?

Keywords

four rotor aircraft adaptive control algorithm (4R2AC) algorithm, back-stepping (BS).

Abstract

A novel four rotor aircraft adaptive control algorithm, taking into account fluffy neural system, is described in this paper. Concentrating on the unverifiable streamlined coefficients which describe the push and torques, an adaptive controller for a four-rotor aircraft is composed in view of Immersion and Invariance approach. A moderately basic model parameterized concerning a couple of obscure parameters is created in order to manage the complex multivariable parameter estimation. For the estimation of those parameters, the four rotor aircraft adaptive control algorithm (4R2AC) algorithm is utilized. The control algorithm is based on the optimized fuzzy neural network method. Numerical recreation delineates the heartiness of the controller against the parametric vulnerabilities and outside aggravations.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yizhou Wei
AU  - GangQiang Sun
AU  - ShuHeng Wang
PY  - 2017/04
DA  - 2017/04
TI  - A Novel Four Rotor Aircraft Adaptive Control Algorithm Based on the Optimized Fuzzy Neural Network
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 580
EP  - 586
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.122
DO  - 10.2991/icmmct-17.2017.122
ID  - Wei2017/04
ER  -