Advanced robust nonlinear control approaches for quadrotor unmanned aerial vehicle : roadmap to improve tracking-trajectory performance in the presense of external disturbances / Moussa Labbadi, Yassine Boukal, Mohamed Cherkaoui.
2022
TL589.4 .L33 2022
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Advanced robust nonlinear control approaches for quadrotor unmanned aerial vehicle : roadmap to improve tracking-trajectory performance in the presense of external disturbances / Moussa Labbadi, Yassine Boukal, Mohamed Cherkaoui.
Author
ISBN
9783030810146 (electronic bk.)
3030810143 (electronic bk.)
9783030810139
3030810135
3030810143 (electronic bk.)
9783030810139
3030810135
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color)
Item Number
10.1007/978-3-030-81014-6 doi
Call Number
TL589.4 .L33 2022
Dewey Decimal Classification
629.132/6
Summary
This book studies selected advanced flight control schemes for an uncertain quadrotor unmanned aerial vehicle (UAV) systems in the presence of constant external disturbances, parametric uncertainties, measurement noise, time-varying external disturbances, and random external disturbances. Furthermore, in all the control techniques proposed in this book, it includes the simulation results with comparison to other nonlinear control schemes recently developed for the tracking control of a quadrotor UAV. The main contributions of the present book for quadrotor UAV systems are as follows: (i) the proposed control methods are based on the high-order sliding mode controller (SMC) and hybrid control algorithm with an optimization method. (ii) the finite-time control schemes are developed by using fast terminal SMC (FTSMC), nonsingular FTSMC (NFTSMC), global time-varying SMC, and adaptive laws. (iii) the fractional-order flight control schemes are developed by using the fractional-order calculus theory, super twisting algorithm, NFTSMC, and the SMC. This book covers the research history and importance of quadrotor system subject to system uncertainties, external wind disturbances, and noise measurements, as well as the research status of advanced flight control methods, adaptive flight control methods, and flight control based on fractional-order theory. The book would be interesting to most academic undergraduate, postgraduates, researchers on flight control for drones and applications of advanced controllers in engineering field. This book presents a must-survey for advanced finite-time control for quadrotor system. Some parts of this book have the potential of becoming the courses for the modelling and control of autonomous flying machines. Readers (academic researcher, undergraduate student, postgraduate student, MBA/executive, and education practitioner) interested in nonlinear control methods find this book an investigation. This book can be used as a good reference for the academic research on the control theory, drones, terminal sliding mode control, and related to this or used in Ph. D. study of control theory and their application in field engineering.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 22, 2021).
Added Author
Series
Studies in systems, decision and control ; v. 384. 2198-4190
Available in Other Form
Linked Resources
Record Appears in
Table of Contents
Introduction
Stabilization of QUAV under external disturbances using modied novel ST based on nite-time SMC
Robust nonlinear backstepping SMC for QUAV subjected to external disturbance
Robust adaptive global time-varying SMC for QUAV subjected to Gaussian random uncertainties/disturbances
Global fractional controller based on SMC for the QUAV under uncertainties and disturbances
Summary and Scope
Appendices.
Stabilization of QUAV under external disturbances using modied novel ST based on nite-time SMC
Robust nonlinear backstepping SMC for QUAV subjected to external disturbance
Robust adaptive global time-varying SMC for QUAV subjected to Gaussian random uncertainties/disturbances
Global fractional controller based on SMC for the QUAV under uncertainties and disturbances
Summary and Scope
Appendices.