Last edited by Kemi
Monday, November 16, 2020 | History

2 edition of Hardware-in-the-loop simulation for a research uninhabited aerial vehicle control. found in the catalog.

Hardware-in-the-loop simulation for a research uninhabited aerial vehicle control.

Hong Tai Tam

Hardware-in-the-loop simulation for a research uninhabited aerial vehicle control.

  • 171 Want to read
  • 3 Currently reading

Published .
Written in English


About the Edition

In this thesis, a multi-objective control for a research uninhabited aerial vehicle is presented. Using the eigenstructure assignment approach, a flight controller is developed to meet multiple design specifications during a flight mission. The controller is implemented into a digital control system with commercial off-the-shelf actuators. Real-time simulations and hardware-in-the-loop experiments are performed to verify the feasibility of this design. In addition, a comparative analysis of different digital implementation are made. The Kalman filter is further employed to improve the performance of the digital control system.

The Physical Object
Pagination90 leaves.
Number of Pages90
ID Numbers
Open LibraryOL19215541M
ISBN 100494024461

NASA Images Solar System Collection Ames Research Center. Brooklyn Museum. Full text of "Florian Holzapfel, Stephan Theil - Advances in Aerospace Guidance, Navigation and Control". The autopilot can control the plane for each stage of the journey, including takeoff, normal flight, and even landing. Other flying robo are uninhabited and are known as unmanned aerial vehicles (UAVs). They can be smaller and lighter without a human pilot on board, and fly into dangerous territory for military surveillance missions. It employs a short (2-step) control horizon with an adjustable prediction horizon, automatically tunes the move suppression (regularization) parameter to achieve well-conditioned control, and presents a new technique for generating the reference trajectory that is robust to changes in the process time delay and in the presence of any inverse.


Share this book
You might also like
Dangerous friend

Dangerous friend

Approaching Easter

Approaching Easter

Pilgrims

Pilgrims

Pilot teacher-development program in mathematics

Pilot teacher-development program in mathematics

When old trails were new

When old trails were new

Ancient Greeks

Ancient Greeks

Study of administrative adjudication in Hawaii

Study of administrative adjudication in Hawaii

Royal cookery

Royal cookery

Sweepers of the sea

Sweepers of the sea

Statistics on judicial administration

Statistics on judicial administration

Kolin Successful Writing at Work

Kolin Successful Writing at Work

Evaluation of full-scale sugar beet transport water solids dewatering system

Evaluation of full-scale sugar beet transport water solids dewatering system

Fiscal adjustment and stabilization policies in Eastern Europe

Fiscal adjustment and stabilization policies in Eastern Europe

Hard times in rural America

Hard times in rural America

Over here

Over here

Hardware-in-the-loop simulation for a research uninhabited aerial vehicle control. by Hong Tai Tam Download PDF EPUB FB2

The HILS results show the responses of the visual based controller to govern the simulated plants of UAV and camera pan-tilt gimbal. Keywords—Unmanned Aerial Vehicle, Hardware In-the-Loop SimulationAuthor: Eric R.

Mueller. Abstract: Modeling, guidance and control experimental results for a small unmanned aerial vehicle (UAV) are presented.

The numerical values of the aerodynamic derivatives are computed via the Digital DATCOM software using the geometric parameters of the airplane.

A hardware-in-the-loop (HIL) simulation environment is developed to support and File Size: KB. Hardware in the loop (HIL) simulation is a computer simulation that has the ability to simulate UAV flight characteristic, sensor modeling and actuator modeling while communicating in real time.

of the vehicle’s motion completes the simulation environment. The hardware-in-the-loop setup is an indispensable tool for rapid certification of both the avionics hardware and the control software, while performing simulated flight tests with minimal cost and effort.

Introduction Unmanned aerial vehicles (UAVs) have received File Size: KB. Abstract. This work presents a real-time hybrid simulation for the analysis and optimization of the electronic control unit of a quadcopter. Therefore, the existing physical microcontroller hardware is coupled to a real-time computer model used to simulate the by: 2.

This paper describes an investigative hardware-in-the-loop simulation (HILS) effort through virtual instrumentation on longitudinal control of an unmanned aerial vehicle (UAV). The proportional-integral-differential (PID) controller and fuzzy logic controller (FLC) are designed for the pitch angle hold mode of autopilot; moreover, they are implemented by an embedded real-time control system as Author: Yun Ping Sun, Yen Chu Liang.

Mueller, E.R.: Hardware-in-the-loop Simulation Design for Evaluation of Unmanned Aerial Vehicle Control Systems. In: AIAA Modeling and Simulation Technologies Conference and Exhibit, Hilton Head, South Carolina, pp.

– () Google ScholarAuthor: Ozan Eren Yuceol, Ahmet Akbulut. A user-friendly graphical interface that incorporates external stick commands and 3-D visualization of the vehicle’s motion completes the simulation environment.

The hardware-in-the-loop setup is an indispensable tool for rapid certification of both the avionics hardware and the control software, while performing simulated flight tests with Cited by: CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Modeling and experimental identification results for a small unmanned aerial vehicle (UAV) are presented.

The numerical values of the aerodynamic derivatives are computed via the Digital DATCOM software using the geometric parameters of the airplane. Flight test data are utilized to identify the stability and control.

The Development of a Hardware-in-the-Loop Simulation System for Unmanned Aerial Vehicle Autopilot Design Using LabVIEW. By Yun-Ping Sun. Submitted: November 25th Reviewed: April 22nd Published: August 1st DOI: /Cited by: 3. Hardware-in-the-loop test-bed of an Unmanned Aerial Vehicle using Orccad Daniel Simon To cite this version: Daniel Simon.

Hardware-in-the-loop test-bed of an Unmanned Aerial Vehicle using Orccad. 6th National Conference on Control Architectures of Robots, INRIA Grenoble Rhône-Alpes, MayHardware-in-the-loop simulation Even with a. control system. We demonstrate this application by implementing the final design and testing it using a hardware-in-the-loop simulation.

Introduction Implementing a control system on a UAV is a tremendous undertaking. One needs to combine complicated sensors such as GPS and INS, servo actuators, a wireless network, a central computer, andFile Size: KB. A hardware in the loop simulation platform for vision-based control of unmanned air vehicles N.R.

Gansa,*, W.E. Dixonb, R. Lindb, A. Kurdilac a University of Texas at Dallas, Richardson, TX, USA bUniversity of Florida, Gainesville, FL, USA cVirginia Polytechnic Institute, Blacksburg, VA, USA article info Keywords: Hardware in the loop simulation. Navigation Guidance and Control System using Hardware in the Loop Simulation for Unmanned Aerial Vehicle (UAV) Dr.

Thae Maung Maung, Dr. Hla Myo Tun, and Moe Kyaw Naing. International Conference on Advances in Electrical and Electronics Engineering (ICAEE') File Size: KB. Development and Implementation of a Hardware in-the-loop test bed for Unmanned Aerial Vehicle control algorithms because HIL testing is limited in the actual accuracy simulation of the dynamic loads present during actual the EDGE T electric unmanned aerial vehicle (UAV) in this research, which is a suitable model of aircraft.

vehicle (UGV) through a Hardware-in-the-loop (HIL) simulation. This approach is started by defined a mathematical model of kinematic-dynamic forces apply and sensor-actuator model that integrated in UGV for simulation. A novel hardware control architecture was built to meet the HIL simulation method.

Both simulation model and hardware. underwater vehicle that was designed, developed and tested by research team at Center for Unmanned System Studies at InstitutTeknologi Bandung.

Keywords: Robotics Fault tolerant controller, unmanned aerial vehicle, reconfigurable controller, fault detection, Hardware in the Loop. IntroductionAuthor: Vishnu Kumar Kaliappan, Agus Budiyono, Dugki Min, K Muljowidodo, SaptoAdiNugroho.

Research Needs in Dynamics and Control for Uninhabited Aerial Reverse Engineering and Aerodynamic Analysis of a Flying Wing SCU_uav SIMULATION ANALYSIS FOR UAV SEARCH ALGORITHM DESIGN USING APPROXIMATE DYNAMIC Six-DoF Dynamic Modeling and Flight Testing.

Surrogate flight control servo actuators were characterized in the laboratory and added to the plant model. Classic inner/ outer loop controllers were developed for yaw damping and speed, altitude and heading control. The system was then successfully demonstrated%ted with hardware in the loop in Author: Christopher H.

Flood. Autonomous Vehicle Laboratory for Sense and Avoid Research and Hardware-in-the-Loop Simulations Duncan Miller1 University of Michigan, Ann Arbor, MI, As autonomous, unmanned aerial vehicles begin to operate regularly in the National Airspace System, the ability to test safely the coordination and control of multiple vehicles.

Design of a Real-time Simulator Capable of Hardware-in-the-loop Simulation for an Automated Collision Prevention (ACoP) System for an Autonomous Electrical Vehicle Idrees Alzahid, Fnu Qinggele, and Yong-Kyu Jung {Alzahid, qinggele, and jung}@ Electrical and Computer Engineering, Gannon University, PA, USA Abstract.

hardware-in-the-loop simulation system is effective and provides a simple configuration for prototyping electric vehicles. Index Terms—Electrical vehicle, hardware-in-the-loop simulation, induction motor, direct torque control, hysteresis controller, dSPACE DS 1.

Cited by: MST Modeling and Simulation of Aeroelasticity and Structural Dynamics • Tuesday, 10 January • hrs. Hardware in the loop (HIL) simulations can improve decision making algorithms Control algorithms often the limiting factor Sim substitutes weather and human variability for a safe, repeatable environment Autopilot receives sensor and state data from FlightGear Vehicle believes it is roaming outside.

Unmanned Aircraft Systems (UAS) have seen unprecedented levels of growth during the last decade in both military and civilian domains. It is anticipated that civilian applications will be dominant in the future, although there are still barriers to be overcome and technical challenges to be met.

Inthe University of Hawaii collaborated with NRL to undertake detailed fuel cell stack testing and hardware-in-the-loop simulation of the Ion Tiger.

The investigation showed that if the fuel cell had sufficient ability to meet all power demands, the pure fuel cell system had greater endurance (between 2 and 10%) at the expense of fuel Cited by: Political pressure on the automotive industry will lead in future to an increasing electrification of the powertrain.

The new components require the development of new vehicle control systems and control functions. Due to the high complexity of such systems the mechatronical development process including Model in the Loop (MIL), Software in the Loop (SIL) and Hardware in the Loop (HIL Author: Florian Quantmeyer, Xiao Bo Liu-Henke.

Agent-Based Support for Distributed Air/Ground Traffic Management Simulation Research. Todd Callantine, Thomas Prevôt, Hardware-in-the-Loop Simulation Using Open Control Platform.

Stanley Pruett, G. Slutz, Uninhabited Aerospace Vehicle Simulation •. The navigation and video sensors onboard the UAVs are tasked (via another wireless link) by our control algorithm suite to search for and track targets that exist in the simulation. Video data is streamed to an image plane video tracker (IPVT), which produces detections that can be fed to a Cited by: 1.

TITLE AND SUBTITLE: Design and Evaluation of a Digital Flight Control System for the FROG Unmanned Aerial Vehicle 6. AUTHOR(S) Flood, Christopher H. FUNDING NUMBERS 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 8.

PERFORMING ORGANIZATION REPORT NUMBER 9. Abdulrahim and R. Lind, "Control and Simulation of a Multi-Role Morphing Micro Air Vehicle," AIAA Guidance, Navigation and Control Conference, San Francisco, CA, AugustAIAA Notes Summary: ABSTRACT: Unmanned vehicles, both ground and aerial, have become prevalent in recent years.

The research community has different needs than the industrial community when designing a finalized unmanned system since the vehicle, the sensors and the control design are dynamic and change frequently as new ideas are developed and implemented.

Aircraft Dynamics, Antenna, Data Transfer Busses, Electro-Optics and Infrared, Ethernet, Internet Protocol, Maneuverability, Microwave Components, Polarization, Radar Equations, Radiation Patterns, Receiver Characteristics, Receiver Sensitivity, Receiver Tests, Radio Frequency Components, RS Interface, RS Balanced Voltage Interface, RS Interface, Transmission Control Protocol.

The resulting navigation solution can be found in different areas of application. One of these applications is the AirQuad. It is an autonomous Unmanned Aerial Vehicle (UAV), which is developed at the ITE. The focus is in the field of system design, system architecture and the system intelligence.

UG students interested in learning more about Unmanned Aerial Systems and getting exposed to research in this field can enroll in AE, AE, and AE Graduate students interested in nonlinear phenomenon in fluid, solid, or material engineering can enroll in ME, ME, or ME, respectively.

Goktogan, A., Sukkarieh, S. Simulation of multi-uav missions in a real-time distributed hardware-in-the-loop simulator. Fourth International Symposium on Mechatronics and its Applications (ISMA07), Sharjah, United Arab Emirates: American University of Sharjah. Proc.

SPIEEnabling Technologies for Simulation Science IX, pg 1 (19 May ); doi: / LA is the world’s first aircraft designed for the users with no piloting background. It is a fully autonomous UAV (drone). Just connect the battery, launch it, and it will come back to you after 5 minutes of flight (limited for safety purposes) at the height of 80mm.

Papers that present original research in computational, experimental, and analytical aeroacoustics are being solicited.

The program's technical content will include topics on all aspects of the generation, propagation, and control of vehicle noise, as well as the effect of noise on structures and individuals.

Studies in related areas. EW_Radar_Handbook 1. 1 April NAWCWPNS TP w / Rev 2 of 1 April and later changes Avionics Department AIR EW Class Desk Washington, D.C. NAVAL AIR SYSTEMS COMMAND Weapons Division Avionics Department Electronic Warfare Division Point Mugu, CA NAVAL AIR WARFARE CENTER ELECTRONIC WARFARE AND RADAR SYSTEMS.

Journal Publications and Book Chapters [66] Randal W. Beard, Timothy W. McLain “Implementing Dubins Airplane Paths on Fixed-wing UAVs, ” Handbook of Unmanned Aerial Vehicles, ed. Kimon P.

Valavanis, George J. Vachtsevanos, Springer, (to appear in ). Preprint [65] Liang Sun, John D. Hedengren, Randal W.

Beard, “Optimal Trajecotry Generation using Model Predictive Control for .Hardware in-the-loop tests and flight experiments with a fixed-wing unmanned aerial vehicle are performed to verify the performance of the proposed fault diagnosis scheme. 더 보기 더 보기 취소.- Building of a simulation environment for research and testing of advanced fault tolerant control systems.

- Neural network based fault tolerant control systems. - Modeling, simulation and analysis of aircraft control surface failure configurations.

- Real-time parameter identification techniques for .