Download or read book Adaptive Fuzzy Control of Quadrotor written by Muhammad Awais Sattar and published by . This book was released on 2017 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this thesis, intelligent controllers are designed to control attitude for quadrotor UAV (Unmanned Aerial Vehicle).Quadrotors have a variety of applications in real time e.g. surveillance, inspection, search, rescue and reducing the human force in undesirable conditions. Quadrotors are generally unstable systems; the kinematics of quadrotor resembles the kinematics of inverted pendulum. In order to avoid the possibility of any kind of damages, the mathematical model of quadrotor should be developed and after that, the different control techniques can be implemented. This thesis presents a detailed simulation model for a Quadrotor. For the control purpose, three classical and modern control strategies are separately implemented which are PID, Fuzzy, and Adaptive Fuzzy PID for four basic motions roll, pitch, yaw, and Z Height. For better performance, error reduction and easy tuning, this thesis introduces individual controllers for all basic motion of a Quadrotor. The modeling and control is done using MATLAB/Simulink. The main objective of this thesis is to get the desired output with respect to the desired the input. At the end, simulation results are compared to check which controller acts the best for the developed Quadrotor model"--Abstract.
Download or read book Attitude Control for a Quadrotor UAV Using Adaptive Fuzzy Backstepping written by Kaiyu Zhao and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Intelligent Control written by Kaushik Das Sharma and published by Springer. This book was released on 2018-08-28 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.
Download or read book Dynamic Modeling Fuzzy Control and Stabilization of Quadrotor Vehicle written by Mohamed Elkhatib and published by . This book was released on 2017-01-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fuzzy Controller Design written by Zdenko Kovacic and published by CRC Press. This book was released on 2018-10-08 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation. With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB®/SIMULINK®, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications. With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.
Download or read book Nature Inspired Computing for Control Systems written by Hiram Eredín Ponce Espinosa and published by Springer. This book was released on 2015-12-16 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.
Download or read book Fuzzy Logic Type 1 and Type 2 Based on LabVIEWTM FPGA written by Pedro Ponce-Cruz and published by Springer. This book was released on 2015-12-21 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive introduction to LabVIEW FPGATM, a package allowing the programming of intelligent digital controllers in field programmable gate arrays (FPGAs) using graphical code. It shows how both potential difficulties with understanding and programming in VHDL and the consequent difficulty and slowness of implementation can be sidestepped. The text includes a clear theoretical explanation of fuzzy logic (type 1 and type 2) with case studies that implement the theory and systematically demonstrate the implementation process. It goes on to describe basic and advanced levels of programming LabVIEW FPGA and show how implementation of fuzzy-logic control in FPGAs improves system responses. A complete toolkit for implementing fuzzy controllers in LabVIEW FPGA has been developed with the book so that readers can generate new fuzzy controllers and deploy them immediately. Problems and their solutions allow readers to practice the techniques and to absorb the theoretical ideas as they arise. Fuzzy Logic Type 1 and Type 2 Based on LabVIEW FPGATM, helps students studying embedded control systems to design and program those controllers more efficiently and to understand the benefits of using fuzzy logic in doing so. Researchers working with FPGAs find the text useful as an introduction to LabVIEW and as a tool helping them design embedded systems.
Download or read book Adaptive Fuzzy Control Systems written by Hafiz Shafeek Ali Khafagy and published by . This book was released on 2002 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Adaptive Fuzzy Logic Controller for Process Control written by Jun Lu and published by . This book was released on 1995 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Fuzzy Control written by Raúl E. Ordónez and published by . This book was released on 1996 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Dynamic Programming Single and Multiple Controllers written by Ruizhuo Song and published by Springer. This book was released on 2018-12-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Advanced Robust Nonlinear Control Approaches for Quadrotor Unmanned Aerial Vehicle written by Moussa Labbadi and published by Springer Nature. This book was released on 2021-09-14 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Advanced Sliding Mode Control for Mechanical Systems written by Jinkun Liu and published by Springer Science & Business Media. This book was released on 2012-09-07 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation" takes readers through the basic concepts, covering the most recent research in sliding mode control. The book is written from the perspective of practical engineering and examines numerous classical sliding mode controllers, including continuous time sliding mode control, discrete time sliding mode control, fuzzy sliding mode control, neural sliding mode control, backstepping sliding mode control, dynamic sliding mode control, sliding mode control based on observer, terminal sliding mode control, sliding mode control for robot manipulators, and sliding mode control for aircraft. This book is intended for engineers and researchers working in the field of control. Dr. Jinkun Liu works at Beijing University of Aeronautics and Astronautics and Dr. Xinhua Wang works at the National University of Singapore.
Download or read book On the Design and Architecture of Adaptive Fuzzy Controllers and Their Application to a Biomedical Control Problem written by Satoru Isaka and published by . This book was released on 1989 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Motion Control written by Federico Casolo and published by BoD – Books on Demand. This book was released on 2010-01-01 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reveals many different aspects of motion control and a wide multiplicity of approaches to the problem as well. Despite the number of examples, however, this volume is not meant to be exhaustive: it intends to offer some original insights for all researchers who will hopefully make their experience available for a forthcoming publication on the subject.
Download or read book Adaptive Fuzzy Logic Flight Controller for Rotorcraft written by T. Y. Jiang and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nonlinear Control of Vehicles and Robots written by Béla Lantos and published by Springer Science & Business Media. This book was released on 2010-12-01 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Control of Vehicles and Robots develops a unified approach to the dynamic modeling of robots in terrestrial, aerial and marine environments. The main classes of nonlinear systems and stability methods are summarized and basic nonlinear control methods, useful in manipulator and vehicle control, are presented. Formation control of ground robots and ships is discussed. The book also deals with the modeling and control of robotic systems in the presence of non-smooth nonlinearities. Robust adaptive tracking control of robotic systems with unknown payload and friction in the presence of uncertainties is treated. Theoretical and practical aspects of the control algorithms under discussion are detailed. Examples are included throughout the book allowing the reader to apply the control and modeling techniques in their own research and development work. Some of these examples demonstrate state estimation based on the use of advanced sensors as part of the control system.
