Nonlinear Control of Unmanned Aerial Vehicles with Cable Suspended Payloads

Nonlinear Control of Unmanned Aerial Vehicles with Cable Suspended Payloads

Author: Ameya Godbole

Publisher:

Published: 2022

Total Pages: 170

ISBN-13:

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The research focuses on the mathematical modeling and control of an unmanned aerial vehicle with cable suspended payload. A comprehensive mathematical model is derived for a quadcopter with a cable suspended payload using the Newton-Euler method and the Euler-Lagrange formulation. These methods assume that the cable is massless and always taut and cannot be used to simulate the cases when the cable is flexible. Hence, an alternative approach to model the flexibility of the cable is presented using Lagrangian mechanics by approximating the cable to be a chain of serially connected links. The motion of the payload induces disturbances on the aerial platform and must be mitigated for stable operation. The solution to this control problem is presented through the implementation of a passivity based controller, and an extended state observer based active disturbance rejection controller. The implementation of the passivity based controller requires the knowledge of time derivatives of the payload oscillations. Assuming only the swing angles of the payload with respect to the unmanned aerial vehicle are measured, these states (primarily the angular velocity) are estimated using a continuous-discrete Kalman Filter. Alternately, since the payload cable swing angles are difficult to measure or requires additional on-board sensors, an active disturbance rejection controller is designed and implemented wherein the disturbances induced in the system due to the motion of the payload are estimated using the extended state observer. A comparison between the passivity based controller and the extended state observer based active disturbance rejection controller is performed using a high fidelity numerical simulation. The simulation results are verified experimentally using a quadcopter platform in the Aerospace Systems Laboratory at The University of Texas at Arlington. Furthermore, the mathematical modeling of a multi-agent system consisting of multiple quadcopters connected to a rigid body payload via cables is presented. A distributed extended state observer based active disturbance rejection controller is implemented on this system to achieve the cooperative control task of safely transporting the payload while attenuating the swing of the payload.


Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties

Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties

Author: Michail G. Michailidis

Publisher: Springer Nature

Published: 2020-02-21

Total Pages: 119

ISBN-13: 3030407160

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This book introduces a comprehensive and mathematically rigorous controller design for families of nonlinear systems with time-varying parameters and unstructured uncertainties. Although the presented methodology is general, the specific family of systems considered is the latest, NextGen, unconventional fixed-wing unmanned aircraft with circulation control or morphing wings, or a combination of both. The approach considers various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family of admissible plants. In contrast to existing controller designs that consider multiple models and multiple controllers, the proposed approach is based on the ‘one controller fits all models’ within the unstructured uncertainty interval. The book presents a modeling-based analysis and synthesis approach with additive uncertainty weighting functions for accurate realization of the candidate systems. This differs significantly from existing designs in that it is capable of handling time-varying characteristics. This research monograph is suitable for scientists, engineers, researchers and graduate students with a background in control system theory who are interested in complex engineering nonlinear systems.


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.


Nonlinear Control of Robots and Unmanned Aerial Vehicles

Nonlinear Control of Robots and Unmanned Aerial Vehicles

Author: Ranjan Vepa

Publisher: CRC Press

Published: 2016-10-14

Total Pages: 704

ISBN-13: 1315350300

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Nonlinear Control of Robots and Unmanned Aerial Vehicles: An Integrated Approach presents control and regulation methods that rely upon feedback linearization techniques. Both robot manipulators and UAVs employ operating regimes with large magnitudes of state and control variables, making such an approach vital for their control systems design. Numerous application examples are included to facilitate the art of nonlinear control system design, for both robotic systems and UAVs, in a single unified framework. MATLAB® and Simulink® are integrated to demonstrate the importance of computational methods and systems simulation in this process.


Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021)

Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021)

Author: Meiping Wu

Publisher: Springer Nature

Published: 2022-03-18

Total Pages: 3575

ISBN-13: 9811694923

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This book includes original, peer-reviewed research papers from the ICAUS 2021, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2021 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.


Hierarchical Nonlinear Control for Unmanned Aerial Vehicles

Hierarchical Nonlinear Control for Unmanned Aerial Vehicles

Author:

Publisher:

Published: 2002

Total Pages: 8

ISBN-13:

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This research is motivated by the problem of motion planning of autonomous vehicles in an uncertain environment. A possible approach to reduce the computational complexity of the motion planning problem for a nonlinear, high dimensional system, is based on a quantization of the system dynamics, in the sense that we restrict the feasible nominal system trajectories to the family of time-parametrized curves that can be obtained by the Inter-connection of appropriately defined primitives. These primitives will then constitute a maneuver library' from which the nominal trajectory will be constructed. Instead of solving an optimal control problem over a high-dimensional, continuous space, we solve a mixed integer programming problem, over a much smaller space. At the core of the control architecture lies a hybrid automaton, the states of which represent feasible trajectory primitives for the vehicle. Each constituent subsystem of the hybrid controller will be the agent responsible for the maneuver execution. The task of the automaton will be the generation of complete, feasible and optimal' trajectories, via the interconnection of the available primitives. Apart from the reduction in computational complexity, one of the objectives of this approach is the ability to provide a mathematical foundation for generating a provably stable hierarchical system, and for developing the tools to analyze robustness in the presence of uncertainty in the process as well as in the environment.


Nonlinear and Fault-tolerant Control Techniques for a Quadrotor Unmanned Aerial Vehicle

Nonlinear and Fault-tolerant Control Techniques for a Quadrotor Unmanned Aerial Vehicle

Author: Tong Li

Publisher:

Published: 2011

Total Pages: 176

ISBN-13:

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Unmanned Aerial Vehicles (UAVs) have become more and more popular, and how to control them has become crucial. Although there are many different control methods that can be applied to the control of UAVs, nonlinear control techniques are more practical since the nonlinear features of most UAVs. In this thesis, as the first main contribution, three widely used nonlinear control techniques including Feedback Linearization Control (FLC), Sliding Mode Control (SMC), and Backstepping Control (BSC) are discussed, investigated, and designed in details and flight-tested on a unique quadrotor UAV (Qball-X4) test-bed available at the Networked Autonomous Vehicles (NAV) Lab in Concordia University. Each of these three control algorithms has its own features. The advantages and disadvantages are revealed through both simulation and experimental tests. Sliding mode control is well known for its capability of handling uncertainty, and is expected to be a robust controller on Qball-X4 UAV. Feedback linearization control and backstepping control are considered a bit weaker than sliding mode control. A comparison of these three controllers is carried out in both theoretical analysis and experimental results under same fault-free flight conditions. Testing results and comparison show the different features of different control methods, and provide a view on how to choose controller under a specific condition. Besides, safety and reliability of UAVs have been and will always be a critical issue in the aviation industry. Fault-Tolerant Control (FTC) has played an extremely important role towards UAVs' safety and reliability and the safety of group people if an unexpected crash occurred due to faults/damages of UAVs. Therefore, FTC has been a very active and quickly growing research and development field for UAVs and other safety-critical systems. Based on the use of sliding mode control technique, referred to as Fault-Tolerant SMC (FT-SMC) have been investigated, implemented, flight-tested and compared in the Qball-X4 test-bed and also simulation environment in both passive and active framework of FTC in the presence of different actuator faults/damages, as the second main contribution of this thesis work.


Robust Adaptive Control

Robust Adaptive Control

Author: Petros Ioannou

Publisher: Courier Corporation

Published: 2013-09-26

Total Pages: 850

ISBN-13: 0486320723

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Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.


Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles

Author: Jean-Philippe Condomines

Publisher: Elsevier

Published: 2018-11-14

Total Pages: 254

ISBN-13: 0081027443

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Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles covers state estimation development approaches for Mini-UAV. The book focuses on Kalman filtering technics for UAV design, proposing a new design methodology and case study related to inertial navigation systems for drones. Both simulation and real experiment results are presented, thus showing new and promising perspectives. Gives a state estimation development approach for mini-UAVs Explains Kalman filtering techniques Introduce a new design method for unmanned aerial vehicles Introduce cases relating to the inertial navigation system of drones