Attitude Control of a Quadcopter Using Adaptive Control Technique PDF Download
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Author: Ramiro Ibarra Pérez
Publisher:
ISBN:
Category : Technology
Languages : en
Pages :
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Book Description
This chapter presents an adaptive control technique to stabilize the attitude dynamics of unmanned aerial vehicle (UAV) type quadrotor in the presence of disturbances and/or uncertainties in the parameters due to changes in the payload, nonlinear actuators, and change in environmental conditions. To address the above problem, MRAC (model reference adaptive control) strategy is used. In this schema, a cost function is defined as a function of the error between the output of the system and a desired response from a reference model. Based on this error, the controller parameters are updated. To guarantee the global asymptotic stability of the system, Lyapunov's theory is applied. Simulation results using MATLAB-Simulink platform are presented to demonstrate the convergence of the controller parameters.
Author: Ramiro Ibarra Pérez
Publisher:
ISBN:
Category : Technology
Languages : en
Pages :
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Book Description
This chapter presents an adaptive control technique to stabilize the attitude dynamics of unmanned aerial vehicle (UAV) type quadrotor in the presence of disturbances and/or uncertainties in the parameters due to changes in the payload, nonlinear actuators, and change in environmental conditions. To address the above problem, MRAC (model reference adaptive control) strategy is used. In this schema, a cost function is defined as a function of the error between the output of the system and a desired response from a reference model. Based on this error, the controller parameters are updated. To guarantee the global asymptotic stability of the system, Lyapunov's theory is applied. Simulation results using MATLAB-Simulink platform are presented to demonstrate the convergence of the controller parameters.
Author: Xiao Cui
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Over the years, the controller design for an unmanned aerial vehicle has been attracting considerable amount of attentions and interests. In this thesis, a quadcopter has been studied intensively, and an adaptive backstepping nonlinear controller, along with altitude control using sonar sensor, has been proposed to ensure the stable flight of a quadcopter. A quadcopter consists of four motors acting as its control means. The proper thrust and air drags produced by the propellers completes the tasks to stabilize the quadcopter in the pitch, roll and yaw directions. An attitude estimation technique, the Mahony filter, was firstly implemented to yield the accurate Euler angles for the quadrotor. To understand such a complex system, the Euler-Lagrangian equations has been introduced to develop a dynamic model. Following such a mathematical model, using backstepping design technique, an adaptive nonlinear controller is designed for and implemented onto a real quadcopter. The derived mathematical model has its own uncertainties, such as changes in mass and the location of the center of the mass. Due to such a nature, an adaptive controller based on the neural network has been proposed to estimate certain nonlinear terms in the mathematical model. Successfully design and implementation of such a controller can improve the accuracy of the dynamic model. The unit quaternion representations was also used to eliminate the Gimbal Lock of the Eular angles. A different mathematical model based on Newton equations was also used to further consider the air drag effect of a quadrotor while flying in the air. Proceeding to the attitude controller design, an altitude controller is also designed to lock the flying height of the quadcopter. The design concepts are based on a traditional nonlinear backstepping method. Matlab simulation results suggest a possible implementation of the proposed controller for the quadcopter's altitude and attitude control. A couple of real time experiments have been conducted. The results was recorded and analysed.
Author: Anh Tuan Le
Publisher: BoD – Books on Demand
ISBN: 9535137964
Category : Technology & Engineering
Languages : en
Pages : 364
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Book Description
This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in the unknown plant structure by self-training and self-estimating the unknown factors. The various kinds of robust adaptive controls represented in this book are composed of sliding mode control, model-reference adaptive control, gain-scheduling, H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines.
Author: Kaiyu Zhao
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
With improvements on automation, computer, electronics and other technologies, applications of unmanned aerial vehicles (UAVs) have expanded from pure military field to civilian areas. As a multirotor aircraft, a quadrotor UAV has the advantages of simple structure, small size, high manoeuvrability, etc. On the basis of summarizing the current research situation of the quadrotor UAV, a deep research has been conducted on the attitude control system of the quadrotor UAV and two controllers are proposed to generate a stable performance: Back-stepping controller, adaptive fuzzy back-stepping nonlinear controller. The quadrotor UAV consists of two pairs of rotors and propellers, which can generate thrust and air drag. The dynamic model is derived using the Euler-Lagrangian method and Newton method with 6 degrees of freedom. To represent the model of the quadrotor, Euler angles representation is first derived. However, facing the gimbal lock drawback of Euler angles representation, unit quaternion representation is then discussed afterwards. In normal situations, model parameter uncertainties and external disturbances would affect the system output. Due to this problem, an adaptive fuzzy strategy is designed to approximate the uncertain model using back-stepping techniques with the Lyapunov stability theorem. Firstly, simulations are used to prove the mathematical feasibility. And then experimental results will be provided to illustrate the satisfactory performances of the proposed approach in real time.
Author: Eugene Lavretsky
Publisher: Springer Science & Business Media
ISBN: 1447143965
Category : Technology & Engineering
Languages : en
Pages : 506
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Book Description
Robust and Adaptive Control shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems. The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include: · case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms; · detailed background material for each chapter to motivate theoretical developments; · realistic examples and simulation data illustrating key features of the methods described; and · problem solutions for instructors and MATLAB® code provided electronically. The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors’ extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer. Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems. Robust and Adaptive Control is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.
Author: Lorenzo Sciavicco
Publisher: Springer Science & Business Media
ISBN: 1447104498
Category : Technology & Engineering
Languages : en
Pages : 391
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Book Description
Fundamental and technological topics are blended uniquely and developed clearly in nine chapters with a gradually increasing level of complexity. A wide variety of relevant problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained, step by step. Fundamental coverage includes: Kinematics; Statics and dynamics of manipulators; Trajectory planning and motion control in free space. Technological aspects include: Actuators; Sensors; Hardware/software control architectures; Industrial robot-control algorithms. Furthermore, established research results involving description of end-effector orientation, closed kinematic chains, kinematic redundancy and singularities, dynamic parameter identification, robust and adaptive control and force/motion control are provided. To provide readers with a homogeneous background, three appendices are included on: Linear algebra; Rigid-body mechanics; Feedback control. To acquire practical skill, more than 50 examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, more than 80 end-of-chapter exercises are proposed, and the book is accompanied by a solutions manual containing the MATLAB code for computer problems; this is available from the publisher free of charge to those adopting this work as a textbook for courses.
Author: Naira Hovakimyan
Publisher: SIAM
ISBN: 0898717043
Category : Science
Languages : en
Pages : 333
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Book Description
Contains results not yet published in technical journals and conference proceedings.
Author: Petros Ioannou
Publisher: SIAM
ISBN: 0898716152
Category : Mathematics
Languages : en
Pages : 401
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Book Description
Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigor, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Its tutorial-style presentation of the fundamental techniques and algorithms in adaptive control make it suitable as a textbook. Adaptive Control Tutorial is designed to serve the needs of three distinct groups of readers: engineers and students interested in learning how to design, simulate, and implement parameter estimators and adaptive control schemes without having to fully understand the analytical and technical proofs; graduate students who, in addition to attaining the aforementioned objectives, also want to understand the analysis of simple schemes and get an idea of the steps involved in more complex proofs; and advanced students and researchers who want to study and understand the details of long and technical proofs with an eye toward pursuing research in adaptive control or related topics. The authors achieve these multiple objectives by enriching the book with examples demonstrating the design procedures and basic analysis steps and by detailing their proofs in both an appendix and electronically available supplementary material; online examples are also available. A solution manual for instructors can be obtained by contacting SIAM or the authors. Preface; Acknowledgements; List of Acronyms; Chapter 1: Introduction; Chapter 2: Parametric Models; Chapter 3: Parameter Identification: Continuous Time; Chapter 4: Parameter Identification: Discrete Time; Chapter 5: Continuous-Time Model Reference Adaptive Control; Chapter 6: Continuous-Time Adaptive Pole Placement Control; Chapter 7: Adaptive Control for Discrete-Time Systems; Chapter 8: Adaptive Control of Nonlinear Systems; Appendix; Bibliography; Index
Author: Asif Sabanovic
Publisher: IET
ISBN: 0863413501
Category : Technology & Engineering
Languages : en
Pages : 429
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Book Description
This unique book fulfils the definite need for an accessible book on variable structure systems and also provides the very latest results in research on this topic. Divided into three parts - basics of sliding mode control, new trends in sliding mode control, and applications of sliding mode control - the book contains many numerical design examples, so that readers can quickly understand the design methodologies and their applications to practical problems. Primarily aimed at students and researchers in the field, the book will also be useful for practising control engineers.
Author: Kimon P. Valavanis
Publisher: Springer Science & Business Media
ISBN: 1402061145
Category : Technology & Engineering
Languages : en
Pages : 552
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Book Description
The past decade has seen tremendous interest in the production and refinement of unmanned aerial vehicles, both fixed-wing, such as airplanes and rotary-wing, such as helicopters and vertical takeoff and landing vehicles. This book provides a diversified survey of research and development on small and miniature unmanned aerial vehicles of both fixed and rotary wing designs. From historical background to proposed new applications, this is the most comprehensive reference yet.
