Jsbsim and Flightgear
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Free Software for the Modelling and Simulation of a Mini-UAV an Analysis
Mathematics and Computers in Science and Industry Free Software for the Modelling and Simulation of a mini-UAV An Analysis Tomáš Vogeltanz, Roman Jašek Department of Informatics and Artificial Intelligence Tomas Bata University in Zlín, Faculty of Applied Informatics nám. T.G. Masaryka 5555, 760 01 Zlín, CZECH REPUBLIC [email protected], [email protected] Abstract—This paper presents an analysis of free software Current standards for handling qualities apply to only which can be used for the modelling and simulation of a mini- piloted aircraft and there are no specific standards for UAV UAV (Unmanned Aerial Vehicle). Every UAV design, handling qualities. Relevant article discussing dynamic stability construction, implementation and test is unique and presents and handling qualities for small UAVs is [4]. [2] different challenges to engineers. Modelling and simulation software can decrease the time and costs needed to development Any UAV system depends on its mission and range, of any UAV. First part of paper is about general information of however, most UAV systems include: airframe and propulsion the UAV. The fundamentals of airplane flight mechanics are systems, control systems and sensors to fly the UAV, sensors mentioned. The following section briefly describes the modelling to collect information, launch and recovery systems, data links and simulation of the UAV and a flight dynamics model. The to get collected information from the UAV and send main section summarizes free software for the modelling and commands to it, and a ground control station. [3] [5] simulation of the UAV. There is described the following software: Digital Datcom, JSBSim, FlightGear, and OpenEaagles. -
Jsbsim Open Source Flight Dynamics Model in C++
JSBSim www.jsbsim.org Open Source Flight Dynamics Model in C++ JSBSim is an open source software library that models the dynamics of flight of an aerospace vehicle. The library can be incorporated into larger simulation packages (such as FlightGear and OpenEaagles), or it can be called from a small standalone program to create a batch simulation tool. JSBSim has been in development and use since 1996, and has been built on all of the most popular platforms in use today including those running Linux, Macintosh, and Windows operating systems. JSBSim was conceived in 1996 as a lightweight, data- Input Output Features driven, non-linear, six degree-of-freedom (6DoF), batch simulation application aimed at modeling flight dynam- When running JSBSim in a standalone mode using the ics and control for aircraft. Since the earliest versions, basic driver program, one only needs to supply a script JSBSim has benefited from both the open source develop- name. Control inputs can be supplied to JSBSim from ment environment it has grown within, and the wide vari- within the script. ety of users that have contributed ideas for its continued improvement. It has been incorporated into larger, full- If the aircraft configuration file contains an input port featured, flight simulation applications and architectures specification, the user can also telnet into JSBSim. From (such as FlightGear and OpenEaagles), and has been used within the telnet interface, values of many parameters as a batch simulation tool in industry and academia. internal to JSBSim can be both read and set. The simula- tion itself can also be paused and resumed. -
Progress on and Usage of the Open Source Flight Dynamics Model, Jsbsim
AIAA Modeling and Simulation Technologies Conference AIAA 2009-5699 10 - 13 August 2009, Chicago, Illinois Progress on and Usage of the Open Source Flight Dynamics Model Software Library, JSBSim Jon S. Berndt* Engineering and Science Contract Group / Jacobs, Houston, Texas, 77573 Agostino De Marco† University of Naples, Federico II, Naples, Italy JSBSim is an open source software (OSS) flight dynamics model that can be incorporated into a larger flight simulation architecture (such as FlightGear, or OpenEaagles). It can also be run as a standalone batch application when linked with a stub routine. Since 2004, when JSBSim was formally introduced at the Modeling and Simulation Technology conference, many advances have taken place, and a variety of uses have been demonstrated. This paper will present updates on project status, an overview of XML configuration file format enhancements, details on recent improvements and design choices, and some basic examples of use. A discussion about interfacing JSBSim with Matlab as a Mex-Function or Simulink S-Function is included, followed by a deeper look at a representative usage case study. I. Introduction JSBSim is a high-fidelity, 6-DoF (Degree-of-Freedom), general purpose, flight dynamics model software library written in the C++ programming languages. The library routines propagate the simulated state of an aircraft given inputs provided via a script or issued from a larger simulation application. The inputs can be processed through arbitrary flight control laws, with the outputs generated being used to control the aircraft. Aircraft control and other systems, engines, etc. are all defined in various files in a codified XML format. -
On Some Trim Strategies for Nonlinear Aircraft Flight Dynamics Models with the Open Source Software Jsbsim
On Some Trim Strategies for Nonlinear Aircraft Flight Dynamics Models with the Open Source Software JSBSim James M. Goppert,⁽†⁾ Agostino De Marco,⁽*⁾ Inseok Hwang⁽†⁾ ⁽*⁾ JSBSim Development Team, University of Naples “Federico II”, Department of Aerospace Engineering (DIAS), dias.unina.it Aircraft Design & Aeroflightdynamics Group (ADAG) dias.unina.it/adag ⁽†⁾ School of Aeronautics and Astronautics, Purdue University West Lafayette, Indiana, USA engineering.purdue.edu/AAE CEAS 2011 — The International Conference of European Aerospace Societies, 25 October 2011, Venice, Italy Layout of the presentation • A quick introduction to JSBSim, an open source Flight Dynamics Model (FDM) software library • Implementation of a Trim algorithm for JSBSim, based on a probabilistic Nelder Mead solver. • An aicraft trimming/linearization GUI and an open source equivalent of the Matlab/Simulink aerospace toolbox. CEAS 2011 — The International Conference of European Aerospace Societies, 25 October 2011, Venice, Italy Layout of the presentation • A quick introduction to JSBSim, an open source Flight Dynamics Model (FDM) software library • Implementation of a Trim algorithm for JSBSim, based on a probabilistic Nelder Mead solver. • An aicraft trimming/linearization GUI and an open source equivalent of the Matlab/Simulink aerospace toolbox. CEAS 2011 — The International Conference of European Aerospace Societies, 25 October 2011, Venice, Italy JSBSim … why that name? Author and Development Team Lead: Jon S. Berndt JSBSim CEAS 2011 — The International Conference -
Jsbsim Reference Manual V1.0
JSBSim An open source, platform-independent, flight dynamics model in C++ Jon S. Berndt and the JSBSim Development Team JSBSim An open source, platform-independent, flight dynamics model in C++ Jon S. Berndt & the JSBSim Development Team Copyright © 2011 Jon S. Berndt, All Rights Reserved. [This version released on:6/9/2011] ACKNOWLEDGEMENTS This software is the result of work done by many people over the years. Tony Peden has been contributing to the growth of JSBSim almost from day 1. He is responsible for the initialization and trimming code. Tony also incorporated David Megginson's property system into JSBSim. Tony hails from Ohio State University, with a degree in Aero and Astronautical Engineering. David Culp developed the turbine model for JSBSim, and crafted several aircraft models that use it including the T-38. David has experience flying many types of military and commercial aircraft, including the T-38, and the Boeing 707, 727, 737, 757, 767, the SGS 2-32, and the OV-10. David is an aerospace engineer, a graduate from the U.S. Air Force Academy. David Megginson came from a long involvement as a core FlightGear developer. David correlated our flight dynamics with his general aviation flying experience to aid in maximum realism, among other things. David designed the property system that both FlightGear and JSBSim use. He is well known for his contributions to XML technology, and wrote the easyXML parser that both FlightGear and JSBSim use. Erik Hofman has done a bit of everything, hunting down aircraft data, creating flight models (F-16), and performing some programming. -
Application Specific Drone Simulators: Recent Advances And
Application Specific Drone Simulators: Recent Advances and Challenges Aakif Mairaja, Asif I. Babab, Ahmad Y. Javaida,∗ a2801 W. Bancroft St MS 308, The University of Toledo, Toledo, 43606, USA b1200 W Montgomery Rd, Tuskegee University, Tuskegee, AL 36088, USA Abstract Over the past two decades, Unmanned Aerial Vehicles (UAVs), more commonly known as drones, have gained a lot of attention, and are rapidly becoming ubiquitous because of their diverse applications such as surveillance, disaster management, pollution monitoring, film-making, and military reconnaissance. How- ever, incidents such as fatal system failures, malicious attacks, and disastrous misuses have raised concerns in the recent past. Security and viability concerns in drone-based applications are growing at an alarming rate. Besides, UAV networks (UAVNets) are distinctive from other ad-hoc networks. Therefore, it is necessary to address these issues to ensure proper functioning of these UAVs while keeping their uniqueness in mind. Furthermore, adequate security and functionality require the consideration of many parameters that may include an accurate cognizance of the working mechanism of vehicles, geographical and weather conditions, and UAVNet communication. This is achievable by creating a simulator that includes these aspects. A performance evaluation through relevant drone simulator becomes indispensable procedure to test features, configurations, and designs to demonstrate superiority to comparative schemes and suitability. Thus, it be- comes of paramount importance to establish the credibility of simulation results by investigating the merits and limitations of each simulator prior to selection. Based on this motivation, we present a comprehensive survey of current drone simulators. In addition, open research issues and research challenges are discussed and presented.