Advances in aerospace guidance, navigation and control : selected papers of the Fourth CEAS Specialist Conference on Guidance, Navigation and Control held in Warsaw, Poland, in April 2017

The first three CEAS (Counsil of European Aerospace Societies) Specialist Conferences on Guidance, Navigation and Control (CEAS EuroGNC) were held in Munich, Germany in 2011, in Delft, Netherlands in 2013 and in Toulouse, France in 2017. The Warsaw University of Technology (WUT) and the Rzeszow University of Technology (RzUT) accepted the challenge of jointly organizing the 4 th edition. The conference aims to promote scientific and technical excellence in the fields of Guidance, Navigation and Control (GNC) in aerospace and other fields of technology. The Conference joins together the industry with the academia research. This book covers four main topics: Guidance and Control, Control Theory Application, Navigation, UAV Control and Dynamic. The papers included focus on the most advanced and actual topics in guidance, navigation and control research areas: · Control theory, analysis, and design · ; Novel navigation, estimation, and tracking methods · Aircraft, spacecraft, missile and UAV guidance, navigation, and control · Flight testing and experimental results · Intelligent control in aerospace applications · Aerospace robotics and unmanned/autonomous systems · Sensor systems for guidance, navigation and control · Guidance, navigation, and control concepts in air traffic control systems For the 4th CEAS Specialist Conference on Guidance, Navigation and Control the International Technical Committee established a formal review process. Each paper was reviewed in compliance with good journal practices by independent and anonymous reviewers. At the end of the review process papers were selected for publication in this book. Front Matter ....Pages i-xii Front Matter ....Pages 1-1 Reconfiguration Control Method for Faulty Actuator on UAV (Adèle Boche, Henry De Plinval, Jean-Loup Farges)....Pages 3-23 Flight Control Law Testing Using Optimal Control and Postoptimal Sensitivity Analysis (Johannes Diepolder, Saurabh Saboo, Venkata Sravan Akkinapalli, Stefan Raab, Jiannan Zhang, Pranav Bhardwaj et al.)....Pages 25-45 An Unusual Structure for a Feedforward Gust Load Alleviation Controller (Nicolas Fezans)....Pages 47-68 Aspects of a Consistent Modeling Environment for DO-331 Design Model Development of Flight Control Algorithms (Markus Hochstrasser, Simon P. Schatz, Kajetan Nürnberger, Markus Hornauer, Stephan Myschik, Florian Holzapfel)....Pages 69-86 Robust Incremental Nonlinear Dynamic Inversion Controller of Hexapod Flight Simulator Motion System (Yingzhi Huang, D. M. Pool, O. Stroosma, Qiping Chu)....Pages 87-99 Limit Cycle Oscillation Amplitude Tailorng Based on Describing Functions and \(\mu \) Analysis (Andrea Iannelli, Andrés Marcos, Mark Lowenberg)....Pages 101-119 Development of an Automatic Flight Path Controller for a DA42 General Aviation Aircraft (Erik Karlsson, Simon P. Schatz, Thaddäus Baier, Christoph Dörhöfer, Agnes Gabrys, Markus Hochstrasser et al.)....Pages 121-139 Active Control Objective Prioritization for High-Bandwidth Automatic Flight Path Control (Erik Karlsson, Thaddäus Baier, Christoph Dörhöfer, Agnes Gabrys, Markus Hochstrasser, Christoph Krause et al.)....Pages 141-161 Nonlinear Modular 3D Trajectory Control of a General Aviation Aircraft (Simon P. Schatz, Florian Holzapfel)....Pages 163-183 Modular Trajectory Generation Test Platform for Real Flight Systems (Volker Schneider, Florian Holzapfel)....Pages 185-202 nxControl: Ground Mode for Manual Flight Control Laws with Longitudinal Load Factor Command (K. Schreiter, S. Müller, R. Luckner, D. Manzey)....Pages 203-223 Helicopter Pilot Model for Pitch Attitude Tracking Task (Milan Vrdoljak, Franz Viertler, Manfred Hajek, Matthias Heller)....Pages 225-239 UAV Control System Reconfiguration Under Physical Constrains (Marcin Żugaj)....Pages 241-256 Front Matter ....Pages 257-257 Identification of a Cessna Citation II Model Based on Flight Test Data (M. A. van den Hoek, C. C. de Visser, D. M. Pool)....Pages 259-277 Characterising Angular Accelerometer Calibration Setup Disturbance Using Box–Jenkins Method (D. Jatiningrum, C. C. de Visser, M. M. van Paassen, E. van Kampen, M. Mulder)....Pages 279-294 Improved Hybrid Navigation for Space Transportation (Guilherme F. Trigo, Stephan Theil)....Pages 295-315 Multi Sensor Fusion Based on Adaptive Kalman Filtering (Setareh Yazdkhasti, Jurek Z. Sasiadek)....Pages 317-333 Aircraft Damage Pattern Recognition Using Aerodynamic Coefficients and Fuzzy Logic (Y. Zhang, C. C. de Visser, Q. P. Chu, E. J. van Kampen)....Pages 335-348 Front Matter ....Pages 349-349 Ground Effect Analysis for a Quadrotor Platform (Davide Del Cont Bernard, Mattia Giurato, Fabio Riccardi, Marco Lovera)....Pages 351-367 Nonlinear Model Predictive Flight Path Control for an Unmanned Powered Paraglider (Fabian Binz, Philipp Hartmann, Dieter Moormann)....Pages 369-387 Multiple-Phase Trajectory Optimization for Formation Flight in Civil Aviation (Sander Hartjes, Marco E. G. van Hellenberg Hubar, Hendrikus G. Visser)....Pages 389-405 Optimal Scheduling Algorithm for Air Traffic Point Merge System Using MILP (Youkyung Hong, Somang Lee, Keumjin Lee, Youdan Kim)....Pages 407-420 Flight Path Control for a Multi-body HALE Aircraft (Alexander Köthe, Robert Luckner)....Pages 421-442 Task Allocation of Multiple UAVs for Cooperative Parcel Delivery (Gyeongtaek Oh, Youdan Kim, Jaemyung Ahn, Han-Lim Choi)....Pages 443-454 Circumnavigation with Side-Bearing Angle (Sanghyuk Park)....Pages 455-473 Mission Control Concept for Parcel Delivery Operations Based on a Tiltwing Aircraft System (M. Schütt, P. Hartmann, J. Holsten, D. Moormann)....Pages 475-494 Front Matter ....Pages 495-495 Attainable Landing Area Computation of a Lunar Lander with Uncertainty by Reachability Analysis (Yunus Emre Arslantas, Stephan Theil)....Pages 497-513 Analysis of Optimization Strategies for Solving Space Manoeuvre Vehicle Trajectory Optimization Problem (Runqi Chai, Al Savvaris, Antonios Tsourdos)....Pages 515-527 A Space-Borne GNSS Receiver for Evaluation of the LEO Navigation Based on Real-Time Platform (Hung-Yuan Chang, Wen-Lung Chiang, Kuo-Liang Wu)....Pages 529-550 Trajectory Shaping Guidance Law Based on Downrange-to-Go Polynomial (Namhoon Cho, Youdan Kim, Hyo-Sang Shin, Antonios Tsourdos)....Pages 551-569 MIMO Attitude Control for a Spinning Rocket (W. C. Leite Filho, J. Guimaraes, L. Galembeck)....Pages 571-584 Comparison of Multiple Spacecraft Configuration Designs for Coordinated Flight Missions (Federico Fumenti, Stephan Theil)....Pages 585-607 Generalized Image Navigation and Registration Method Based on Kalman Filter (Ahmed A. Kamel, Handol Kim, Dochul Yang, Chulmin Park, Jin Woo)....Pages 609-630 Exoatmospheric DACS Type Missile Controller Based on Sliding Mode Control Considering the Seeker’s Field-of-View Limit (Jaeho Lee, Youdan Kim)....Pages 631-649 Mechanical/Control Integrated Design of a Flexible Planar Rotatory Spacecraft (J. A. Perez, D. Alazard, T. Loquen, C. Pittet)....Pages 651-667 SPARTAN: A Novel Pseudospectral Algorithm for Entry, Descent, and Landing Analysis (Marco Sagliano, Stephan Theil, Vincenzo D’Onofrio, Michiel Bergsma)....Pages 669-688 Maximum Null Motion Algorithm for Single Gimbal Control Moment Gyroscopes (S. A. V. Schallig, Q. P. Chu, S. W. Rhee, E. van Kampen)....Pages 689-707 Immersion and Invariance Adaptive Backstepping Spacecraft Attitude Control with Modified Rodrigues Parameters (Guilherme F. Trigo, Qi-Ping Chu)....Pages 709-729 Terrain Relative Navigation for Planetary Landing Using Stereo Vision Measurements Obtained from Hazard Mapping (Svenja Woicke, Erwin Mooij)....Pages 731-751 Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University

The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.

Features:

* Balances presentation of the mathematics with applications to signal processing
* Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox
* Companion website for instructors and selected solutions and code available for students

New in this edition

* Sparse signal representations in dictionaries
* Compressive sensing, super-resolution and source separation
* Geometric image processing with curvelets and bandlets
* Wavelets for computer graphics with lifting on surfaces
* Time-frequency audio processing and denoising
* Image compression with JPEG-2000
* New and updated exercises

A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.

Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company.

Companion website: A Numerical Tour of Signal Processing

Includes all the latest developments since the book was published in 1999, including its
application to JPEG 2000 and MPEG-4

Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox

Balances presentation of the mathematics with applications to signal processing Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.Features:• Balances presentation of the mathematics with applications to signal processing• Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolboxNew in this edition• Sparse signal representations in dictionaries• Compressive sensing, super-resolution and source separation• Geometric image processing with curvelets and bandlets• Wavelets for computer graphics with lifting on surfaces• Time-frequency audio processing and denoising• Image compression with JPEG-2000• New and updated exercisesA Wavelet Tour of Signal Processing: The Sparse Way, Third Edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company. Includes all the latest developments since the book was published in 1999, including its application to JPEG 2000 and MPEG-4 Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox Balances presentation of the mathematics with applications to signal processing "The first three CEAS (Counsil of European Aerospace Societies) Specialist Conferences on Guidance, Navigation and Control (CEAS EuroGNC) were held in Munich, Germany in 2011, in Delft, Netherlands in 2013 and in Toulouse, France in 2017. The Warsaw University of Technology (WUT) and the Rzeszow University of Technology (RzUT) accepted the challenge of jointly organizing the 4th edition. The conference aims to promote scientific and technical excellence in the fields of Guidance, Navigation and Control (GNC) in aerospace and other fields of technology. The Conference joins together the industry with the academia research. This book covers four main topics: Guidance and Control, Control Theory Application, Navigation, UAV Control and Dynamic. The papers included focus on the most advanced and actual topics in guidance, navigation and control research areas: · Control theory, analysis, and design · ; Novel navigation, estimation, and tracking methods · Aircraft, spacecraft, missile and UAV guidance, navigation, and control · Flight testing and experimental results · Intelligent control in aerospace applications · Aerospace robotics and unmanned/autonomous systems · Sensor systems for guidance, navigation and control · Guidance, navigation, and control concepts in air traffic control systems For the 4th CEAS Specialist Conference on Guidance, Navigation and Control the International Technical Committee established a formal review process. Each paper was reviewed in compliance with good journal practices by independent and anonymous reviewers. At the end of the review process papers were selected for publication in this book" -- Proporcionat per l'editor The new edition of this classic gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations of Fourier, wavelet and time-frequency tools which enable sparse representations of large classes of signals and images, including the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction and inverse problems, while coverage is given to sparse representations in dictionaries and compresses sensing applications. Features: Balances presentation of the mathematics with applications to signal processing. Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox. Companion website for instructors and selected solutions and code available for students. New in the third edition. Sparse signal representations in dictionaries. Compressed sampling and inverse problems with applications. Geometric image processing with curvelets and bandlets. Wavelets for computer graphics with lifting on surfaces. Audio processing and denoising. Image compression with JPEG-2000. New examples and problemsA Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications. Features: Balances presentation of the mathematics with applications to signal processing. Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox. Companion website for instructors and selected solutions and code available for students. New in this edition: Sparse signal representations in dictionaries. Compressive sensing, super-resolution and source separation. Geometric image processing with curvelets and bandlets. Wavelets for computer graphics with lifting on surfaces. Time-frequency audio processing and denoising. Image compression with JPEG-2000. New and updated exercises. A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R & D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering