Download or read book Adaptive Dynamic Inversion Controller Design for Tailless Unmanned Aerial Vehicle written by Shao-cian Huang and published by . This book was released on 2020 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic inversion controller is a model-based design methodology. The results depend on the accuracy of the plant model. A model reference control is adopted for providing online estimation of the plant model for the dynamic inversion controller. To cope with the robustness issue of the dynamic inversion controller design, combination of the model reference adaptive control with projection operator is also investigated in this research. Matlab/Simulink based computer simulations are conduct to show the success of the design.

Download or read book Nonlinear Control of Fixed Wing UAVs with Time Varying and Unstructured Uncertainties written by Michail G. Michailidis and published by Springer Nature. This book was released on 2020-02-21 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Nonlinear Adaptive Flight Control System for Unmanned Aerial Vehicle written by Sohail Khan and published by . This book was released on 2011-11 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of a Nonlinear Dynamic Inversion Based Flight Control System for a Flying wing UAV written by Ding-wen Chen and published by . This book was released on 2021 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this thesis is to design an effective nonlinear flight control system that only uses elevon to control the flying-wing UAV and to design the guidance law that can track the specified trajectory. The nonlinear dynamic inversion technique is adopted for this control system design. It can effectively control the roll rate and pitch rate of the aircraft and meet the design requirement of the desired dynamics generated to satisfy certain flying qualities. The thesis also developed an infinite-horizon LQR based three-dimensional adaptive optimal guidance law to track the designated flight path. Finally, computer simulations were successfully demonstrated to show that the proposed control law and guidance law can control the flying-wing UAV track the designated trajectory effectively.

Download or read book Fault tolerant Flight Control and Guidance Systems written by Guillaume J. J. Ducard and published by Springer Science & Business Media. This book was released on 2009-05-14 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a complete overview of fault-tolerant flight control techniques. Discussion covers the necessary equations for the modeling of small UAVs, a complete system based on extended Kalman filters, and a nonlinear flight control and guidance system.

Download or read book Aircraft Control Using Nonlinear Dynamic Inversion in Conjunction with Adaptive Robust Control written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis describes the implementation of Yao's adaptive robust control to an aircraft control system. This control law is implemented as a means to maintain stability and tracking performance of the aircraft in the face of failures and changing aerodynamic response. The control methodology is implemented as an outer loop controller to an aircraft under nonlinear dynamic inversion control. The adaptive robust control methodology combines the robustness of sliding mode control to all types of uncertainty with the ability of adaptive control to remove steady state errors. A performance measure is developed in to reflect more subjective qualities a pilot would look for while flying an aircraft. Using this measure, comparisons of the adaptive robust control technique with the sliding mode and adaptive control methodologies are made for various failure conditions. Each control methodology is implemented on a full envelope, high fidelity simulation of the F-15 IFCS aircraft as well as on a lower fidelity full envelope F-5A simulation. Adaptive robust control is found to exhibit the best performance in terms of the introduced measure for several different failure types and amplitudes.

Download or read book Design of an Adaptive Flight Controller for a Bird like Flapping Wing Aircraft written by Balaji K. Chandrasekaran and published by . This book was released on 2017 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the present age of increased demand for unmanned aerial vehicles, flapping wing unmanned aerial vehicle applications have become of interest, primarily because of their ability to fly silently and at lower speeds. This work explores new territory through the development of an adaptive flight controller for a bird-like flapping wing aircraft, using modified strip theory to model the aircraft's aerodynamics and Newtonian equations of motion for the flight dynamics. The aircraft model is validated using existing data from the Slow Hawk Ornithopter. The goal of this thesis is to explore various adaptive flight control architectures, such as Model Reference Adaptive Control and Adaptive Neural Network Inverse Control, leading to an advanced controller to govern the longitudinal flight characteristics of the flapping wing aircraft. An acceptable model of slow hawk ornithopter was developed and modelled in the MATLAB/SIMULINK. The Model Reference Adaptive Controller with Adaptive Bias Corrector was successfully able to adapt to deficiencies in the system with a PI controller and improved the tracking performance compared to no adaptation. It was observed that in case of a B-Matrix failure the Adaptive controller was not able to reduce the error in oscillating magnitude to zero. The same observation was also made for system with a PD controller.

Download or read book Adaptive Hybrid Control of Quadrotor Drones written by Nihal Dalwadi and published by Springer Nature. This book was released on 2023-03-01 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the dynamics of a tail-sitter quadrotor and biplane quadrotor-type hybrid unmanned aerial vehicles (UAVs) and, based on it, various nonlinear controllers design like backstepping control (BSC), ITSMC (Integral Terminal Sliding Mode Control), and hybrid controller (BSC + ITSMC). It discusses single and multiple observer-based control strategies to handle external disturbances like wind gusts and estimate states. It covers the dynamics of slung load with a biplane quadrotor and a control architecture to handle the effect of partial rotor failure with wind gusts acting on it. An anti-swing control to prevent damage to the slung load and a deflecting surface-based total rotor failure compensation strategy to prevent damage to the biplane quadrotor are also discussed in this book. The monograph will be helpful for undergraduate and post-graduate students as well as researchers in their advanced studies.

Download or read book In Flight Learning Based Flight Control of an Unmanned Aircraft System written by Mohammed Alabsi and published by . This book was released on 2018 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Aerial Vehicles (UAVs) popularity has increased substantially in the last few years. UAVs capabilities continue to improve as a result of advances in battery technology, communication, navigation systems and electronics. Increased popularity has driven researchers to improve UAVs reliability and safety which is reflected by the number of publications and accelerating educational programs interest. UAVs are suited for a wide range of civilian and military applications; however, UAVs currently can not integrate with civilian airspace because of stringent safety requirements. Hence, it is necessary to push the envelope for UAVs design and control so that they can learn from nature and have more self-aware capabilities to improve safety and reliability. This dissertation addresses some challenges involved with flight controller learning based on real-time modeling of UAV. Plenty of UAV applications require different operational capabilities within a composite mission. These capabilities include landing and taking off using short runways, while being able to perform missions that require a high cruise speed i.e. tracking applications. A composite mission also requires the aircraft to be able to hover or operate with low cruise speeds for applications involving stationary moments. All of these different operational modes require a hybrid aircraft design that combines fixed wing aircraft capabilities and Vertical Take-Off and Landing (VTOL) aircraft capabilities. However, extensive resources required for hybrid aircraft design prohibited the discovery of different revolutionary designs. The work presented in this dissertation describes the development of a rapid modeling, prototyping and controller design platform of an unmanned quadrotor aircraft. Three main objectives are investigated: intelligent excitation input design, real-time parameter estimation, and learning control. Real-time estimation of dynamic model parameters is important for control adaptation. However, the aircraft model estimation performance can be severely degraded by an active control system and highly collinear model terms such as those found on a quadrotor unmanned aircraft. Recursive Fourier Transform Regression was applied to estimate parameters of different model forms/structures and using different excitation levels. The generated models are utilized to reconfigure a Nonlinear Dynamic Inversion (NDI) controller considering different testing conditions: normal, failure, and learning flights. Finally,an intelligent input design technique is proposed which enables autonomous identification of the vehicle’s response modal frequencies and emphasizes excitation power accordingly.

Download or read book Design Study of an Autonomous Unmanned Air Vehicle Controller written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this document is to both quantitatively and qualitatively compare three varying approaches to control of unmanned air vehicles: dynamic inversion, classical gain scheduling, and robust gain scheduling through H∞ synthesis. The quantitative comparisons include robust performance and robust stability measures of the aircraft and controller linearized about a trim operating point. A second study will look at the time response of the system with varying perturbation to the nominal plant dynamics. The qualitative analysis looks at the complexity of the controller and time required to implement, this included comparison of iterative solving methods for system gains both in the frequency and time domains. A full nonlinear form of the dynamic inversion controller was implemented with full non-linear simulation in Simulink and shows comparable results to the linearized studies. The results have shown that a dual loop controller with a dynamic inversion inner loop and H∞ outer loop has the largest robust performance over the flight envelope but one of the more advanced forms of control for implementation.

Download or read book Hybrid L1 Adaptive Control written by Roshni Maiti and published by Springer Nature. This book was released on 2022-03-01 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details the designing of hybrid control strategies for practical systems containing time varying uncertainties, disturbances, nonlinearities, unknown parameters, unmodelled dynamics, delays, etc., concurrently. In this book, the advantages of different controllers will be brought together to produce superior control performance for the practical systems. Being aware of the advantages of adaptive controller to tackle unknown constant, time varying uncertainties and time varying disturbances, a variant of adaptive controller, namely L1 adaptive controller, is hybridized with other strategies. In this book, to facilitate optimal parameter setting of the basic L1 adaptive controller, stochastic optimization technique will be hybridized with it. The stability of the optimization technique along with the controller will be guaranteed analytically with the help of spectral radius convergence. The proposed method exhibits satisfactory exploration and exploitation capabilities. Again, this book will throw light on tackling nonlinearities along with uncertainties and disturbances by hybridizing fuzzy logic with L1 adaptive controller. The performances of the designed controllers will be compared with different control methodologies to validate their effectiveness. The overall stability of the nonlinear system with the designed controller will be guaranteed with the help of fuzzy Lyapunov function to retain the zonal behaviour of the system. This fuzzy PDC-L1 adaptive controller is efficient to tackle nonlinearities and at the same time cancels unknown constant, time varying uncertainties and time varying disturbances adequately. This book will also contain four simulation case studies to validate fruitfulness of the designed controllers. To demonstrate the superior control ability of these controllers in tackling practical system, three experimental case studies will also be provided.

Download or read book Intelligent Adaptive Control for Nonlinear Applications written by Shaaban Ali Salman Ali and published by . This book was released on 2008 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis deals with the design and implementation of an Adaptive Flight Control technique for Unmanned Aerial Vehicles (UAVs). The application of UAVs has been increasing exponentially in the last decade both in Military and Civilian fronts. These UAVs fly at very low speeds and Reynolds numbers, have nonlinear coupling, and tend to exhibit time varying characteristics. In addition, due to the variety of missions, they fly in uncertain environments exposing themselves to unpredictable external disturbances. The successful completion of the UAV missions is largely dependent on the accuracy of the control provided by the flight controllers. Thus there is a necessity for accurate and robust flight controllers. These controllers should be able to adapt to the changes in the dynamics due to internal and external changes. From the available literature, it is known that, one of the better suited adaptive controllers is the model based controller. The design and implementation of model based adaptive controller is discussed in the thesis. A critical issue in the design and application of model based control is the online identification of the UAV dynamics from the available sensors using the onboard processing capability. For this, proper instrumentation in terms of sensors and avionics for two platforms developed at UNSW@ADFA is discussed. Using the flight data from the remotely flown platforms, state space identification and fuzzy identification are developed to mimic the UAV dynamics. Real time validations using Hardware in Loop (HIL) simulations show that both the methods are feasible for control. A finer comparison showed that the accuracy of identification using fuzzy systems is better than the state space technique. The flight tests with real time online identification confirmed the feasibility of fuzzy identification for intelligent control. Hence two adaptive controllers based on the fuzzy identification are developed. The first adaptive controller is a hybrid indirect adaptive controller that utilises the model sensitivity in addition to output error for adaptation. The feedback of the model sensitivity function to adapt the parameters of the controller is shown to have beneficial effects, both in terms of convergence and accuracy. HIL simulations applied to the control of roll stabilised pitch autopilot for a typical UAV demonstrate the improvements compared to the direct adaptive controller. Next a novel fuzzy model based inversion controller is presented. The analytical approximate inversion proposed in this thesis does not increase the computational effort. The comparisons of this controller with other controller for a benchmark problem are presented using numerical simulations. The results bring out the superiority of this technique over other techniques. The extension of the analytical inversion based controller for multiple input multiple output problem is presented for the design of roll stabilised pitch autopilot for a UAV. The results of the HIL simulations are discussed for a typical UAV. Finally, flight test results for angle of attack control of one of the UAV platforms at UNSW@ADFA are presented. The flight test results show that the adaptive controller is capable of controlling the UAV suitably in a real environment, demonstrating its robustness characteristics.

Download or read book Nonlinear Inversion Control for a Ducted Fan UAV written by Christina Michael Spaulding and published by . This book was released on 2005 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Robust Dynamic Inversion Controller Design and Analysis using the X 38 Vehicle as a Case Study written by Daigoro Ito and published by . This book was released on 2001 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Robustness Study of the Dynamic Inversion Based Indirect Adaptive Control of Flight Vehicles with Uncertain Model Data written by and published by . This book was released on 2002 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this paper is to analyze the stability robustness of dynamic inversion based control laws being used for flight control with uncertainties in model data such as the aerodynamic stability and control derivatives. In particular, the proposed method is aimed at determining the robustness of an indirect adaptive control system developed by the researchers at the AFRL, which is built around a baseline dynamic inversion inner loop. MATLAB/SIMULINK is the environment used for the development and simulation of the flight controller.

Download or read book Robust Discrete Time Flight Control of UAV with External Disturbances written by Shuyi Shao and published by Springer Nature. This book was released on 2020-09-26 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book studies selected discrete-time flight control schemes for fixed-wing unmanned aerial vehicle (UAV) systems in the presence of system uncertainties, external disturbances and input saturation. The main contributions of this book for UAV systems are as follows: (i) the proposed integer-order discrete-time control schemes are based on the designed discrete-time disturbance observers (DTDOs) and the neural network (NN); and (ii) the fractional-order discrete-time control schemes are developed by using the fractional-order calculus theory, the NN and the DTDOs. The book offers readers a good understanding of how to establish discrete-time tracking control schemes for fixed-wing UAV systems subject to system uncertainties, external wind disturbances and input saturation. It represents a valuable reference guide for academic research on uncertain UAV systems, and can also support advanced / Ph.D. studies on control theory and engineering.

Download or read book Control of Autonomous Aerial Vehicles written by Andrea L'Afflitto and published by Springer Nature. This book was released on 2023-11-20 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control of Autonomous Aerial Vehicles is an edited book that provides a single-volume snapshot on the state of the art in the field of control theory applied to the design of autonomous unmanned aerial vehicles (UAVs), aka “drones”, employed in a variety of applications. The homogeneous structure allows the reader to transition seamlessly through results in guidance, navigation, and control of UAVs, according to the canonical classification of the main components of a UAV’s autopilot. Each chapter has been written to assist graduate students and practitioners in the fields of aerospace engineering and control theory. The contributing authors duly present detailed literature reviews, conveying their arguments in a systematic way with the help of diagrams, plots, and algorithms. They showcase the applicability of their results by means of flight tests and numerical simulations, the results of which are discussed in detail. Control of Autonomous Aerial Vehicles will interest readers who are researchers, practitioners or graduate students in control theory, autonomous systems or robotics, or in aerospace, mechanical or electrical engineering.