Modelling and Control of Mini-Flying Machines
Modelling and Control of Mini-Flying Machines

Author: Pedro Castillo Garcia

Publisher: Springer Science & Business Media

Published: 2005-12-08

Total Pages: 260

ISBN-13: 1846281792

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Modelling and Control of Mini-Flying Machines is an exposition of models developed to assist in the motion control of various types of mini-aircraft: • Planar Vertical Take-off and Landing aircraft; • helicopters; • quadrotor mini-rotorcraft; • other fixed-wing aircraft; • blimps. For each of these it propounds: • detailed models derived from Euler-Lagrange methods; • appropriate nonlinear control strategies and convergence properties; • real-time experimental comparisons of the performance of control algorithms; • review of the principal sensors, on-board electronics, real-time architecture and communications systems for mini-flying machine control, including discussion of their performance; • detailed explanation of the use of the Kalman filter to flying machine localization. To researchers and students in nonlinear control and its applications Modelling and Control of Mini-Flying Machines provides valuable insights to the application of real-time nonlinear techniques in an always challenging area.

Fault-Tolerant Cooperative Control of Unmanned Aerial Vehicles
Fault-Tolerant Cooperative Control of Unmanned Aerial Vehicles

Author: Ziquan Yu

Publisher: Springer Nature

Published: 2023-12-06

Total Pages: 226

ISBN-13: 9819976618

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This book focuses on the fault-tolerant cooperative control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). It provides systematic and comprehensive descriptions of FTCC issues in multi-UAVs concerning faults, external disturbances, strongly unknown nonlinearities, and input saturation. Further, it addresses FTCC design from longitudinal motions to attitude motions, and outer-loop position motions of multi-UAVs. The book’s detailed control schemes can be used to enhance the flight safety of multi-UAVs. As such, the book offers readers an in-depth understanding of UAV safety in cooperative/formation flight and corresponding design methods. The FTCC methods presented here can also provide guidelines for engineers to improve the safety of aerospace engineering systems. The book offers a valuable asset for scientists and researchers, aerospace engineers, control engineers, lecturers and teachers, and graduates and undergraduates in the system and control community, especially those working in the field of UAV cooperation and multi-agent systems.

Autonomous Control of Unmanned Aerial Vehicles
Autonomous Control of Unmanned Aerial Vehicles

Author: Victor Becerra

Publisher: MDPI

Published: 2019-06-24

Total Pages: 476

ISBN-13: 3039210300

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Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.

Adaptive Dynamic Programming: Single and Multiple Controllers
Adaptive Dynamic Programming: Single and Multiple Controllers

Author: Ruizhuo Song

Publisher: Springer

Published: 2018-12-28

Total Pages: 278

ISBN-13: 9811317127

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This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.

Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle
Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle

Author: Moussa Labbadi

Publisher: Springer Nature

Published: 2021-09-14

Total Pages: 263

ISBN-13: 3030810143

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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.

Unmanned Aerial Vehicle Design and Technology
Unmanned Aerial Vehicle Design and Technology

Author: T. Hikmet Karakoc

Publisher: Springer Nature

Published: 2023-12-19

Total Pages: 197

ISBN-13: 3031453212

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Unmanned Aerial Vehicle Design and Technology provides readers with a comprehensive introduction to unmanned aerial systems (UAS) technology basics. The book presents clear, concise guidance on UAS system design, components, control, and operations fundamentals. Additional chapters look at unmanned aerial regulations and ethics and the historical background of UAS technology. This textbook offers a well-rounded look at unmanned flight technology, making it an ideal primer for aviation and aerospace students and anyone interested in learning more about unmanned aerial systems, including engineers, technicians, drone and flight hobbyists, and civil aviation organization officials.

Fault Diagnosis and Fault-Tolerant Control of Robotic and Autonomous Systems
Fault Diagnosis and Fault-Tolerant Control of Robotic and Autonomous Systems

Author: Andrea Monteriù

Publisher: Institution of Engineering and Technology

Published: 2020-08

Total Pages: 326

ISBN-13: 178561830X

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Robotic systems have experienced exponential growth thanks to their incredible adaptability. Modern robots require an increasing level of autonomy, safety and reliability. This book addresses the challenges of increasing and ensuring reliability and safety of modern robotic and autonomous systems. The book provides an overview of research in this field to-date, and addresses advanced topics including fault diagnosis and fault-tolerant control, and the challenging technologies and applications in industrial robotics, robotic manipulators, mobile robots, and autonomous and semi-autonomous vehicles.

Fault-tolerant Control Systems
Fault-tolerant Control Systems

Author: Hassan Noura

Publisher: Springer Science & Business Media

Published: 2009-07-30

Total Pages: 233

ISBN-13: 1848826532

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The seriesAdvancesinIndustrialControl aims to report and encourage te- nologytransfer in controlengineering. The rapid development of controlte- nology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies. . . , new challenges. Much of this devel- ment work resides in industrial reports, feasibility study papers, and the - ports of advanced collaborative projects. The series o?ers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Control system design and technology continues to develop in many d- ferent directions. One theme that the Advances in Industrial Control series is following is the application of nonlinear control design methods, and the series has some interesting new commissions in progress. However, another theme of interest is how to endow the industrial controller with the ability to overcome faults and process degradation. Fault detection and isolation is a broad ?eld with a research literature spanning several decades. This topic deals with three questions: • How is the presence of a fault detected? • What is the cause of the fault? • Where is it located? However, there has been less focus on the question of how to use the control system to accommodate and overcome the performance deterioration caused by the identi?ed sensor or actuator fault.

State Estimation and Stabilization of Nonlinear Systems
State Estimation and Stabilization of Nonlinear Systems

Author: Abdellatif Ben Makhlouf

Publisher: Springer Nature

Published: 2023-11-06

Total Pages: 439

ISBN-13: 3031379705

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This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).