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Autonomous Vehicle Platooning and Motion Control Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Fuzzy Control Techniques Applied for Stabilization of a Quadrotor

Authors : Iliass Ouachani, Katell Gadonna, Bilal Belaidi, Herve Billard

Published in: Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems

Publisher: Springer Singapore

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Abstract

The main objectives of this paper consist of developing Control, to stabilize a quadrotor. To achieve this purpose first a Takagi-Sugeno (T.S) fuzzy model for Quadrotor, obtained from a dynamic model, is presented. The proposed T-S controller is designed with measurable premise variables and the conditions of stability are given in terms of linear matrix inequality (LMI) and Parallel Disturbance Compensation (PDC) technique with pole placement constraint is synthesized. The requirements of stability and pole placement in LMI region are formulated based on the Lyapunov direct method. Simulation results are included to validate the performance of this approach.

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Metadata
Title
Fuzzy Control Techniques Applied for Stabilization of a Quadrotor
Authors
Iliass Ouachani
Katell Gadonna
Bilal Belaidi
Herve Billard
Copyright Year
2021
Publisher
Springer Singapore
Book
Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems

Print ISBN: 978-981-15-6258-7

Electronic ISBN: 978-981-15-6259-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-6259-4_46