An Open Architecture Framework for Electronic Warfare Based Approach to HLA Federate Development

A variety of electronic warfare models are developed in the Electronic Warfare Research Center. An Open Architecture Framework for Electronic Warfare (OAFEw) has been developed for reusability of various object models participating in the electronic warfare simulation and for extensibility of the electronic warfare simulator. OAFEw is a kind of component-based software (SW) lifecycle management support framework. This OAFEw is defined by six components and ten rules. The purpose of this study is to construct a Distributed Simulation Interface Model, according to the rules of OAFEw, and create Use Case Model of OAFEw Reference Conceptual Model version 1.0. This is embodied in the OAFEw-FOM (Federate Object Model) for High-Level Architecture (HLA) based distributed simulation. Therefore, we design and implement EW real-time distributed simulation that can work with a model in C++ and MATLAB API (Application Programming Interface). In addition, OAFEw-FOM, electronic component model, and scenario of the electronic warfare domain were designed through simple scenarios for verification, and real-time distributed simulation between C++ and MATLAB was performed through OAFEw-Distributed Simulation Interface

Constraint violation stabilization using gradient feedback in constrained dynamics simulation

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76126/1/AIAA-11410-903.pd

Real-time simulation of constrained dynamic systems.

A new, convenient, and effective energy constraint control is developed from a geometric interpretation of the relation between the controls of geometric and energy constraint violations. Test simulations show that the combination of geometric and energy controls yields improved accuracy, not only in the constraints, but also in the state variables. A study is made of truncation errors and their modeling in the continuous time domain. This model can be used to determine the effectiveness of various constraint controls and integration methods in reducing the errors in the solution due to truncation errors. Several new methods are developed in the dissertation for effective control of constraint violations. One method, called Constraint Violation Stabilization using Gradient Feedback (CVSGF), is based on the steepest descent algorithm in minimization theory. A simple modification, which can be used to improve the numerical stability, is to use Euler integration for the constraint control terms, as distinct from the basic state equations which may be integrated by higher-order methods. Overall, the most effective method in controlling constraint violations is the Geometric Elimination Method. For small step size, this procedure is stable and very accurate. All the controls developed for holonomic constraints can be adapted to nonholonomic constraints when integral control is included in the control law. Test simulations are used in conjunction with all of these control methods to verify application of the theory. Finally, two other methods are suggested for possible application in special circumstances. First, in order to eliminate the computational burden of solving for the Lagrange multipliers, and then using Constraint Violation Stabilization Method (CVSM) as a correction, one could generate the entire constraint force using CVSM, although at the cost of reduced solution accuracy. Another possibility is to combine CVSM with the Generalized Coordinate Partitioning Method (GCPM) in order to make the latter real-time compatible. (Abstract shortened with permission of author.).Ph.D.Aerospace EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/104438/1/9034550.pdfDescription of 9034550.pdf : Restricted to UM users only

Mixed Reality Simulation of High-Endurance Unmanned Aerial Vehicle with Dual-Head Electromagnetic Propulsion Devices for Earth and Other Planetary Explorations

One of the major limitations of existing unmanned aerial vehicles is limited flight endurance. In this study, we designed an innovative uninterrupted electromagnetic propulsion device for high-endurance missions of a quadcopter drone for the lucrative exploration of earth and other planets with atmospheres. As an airborne platform, this device could achieve scientific objectives better than state-of-the-art revolving spacecraft and walking robots, without any terrain limitation. We developed a mixed reality simulation based on a quadcopter drone and an X-Plane flight simulator. A computer with the X-Plane flight simulator represented the virtual part, and a real quadcopter operating within an airfield represented the real part. In the first phase of our study, we developed a connection interface between the X-Plane flight simulator and the quadcopter ground control station in MATLAB. The experimental results generated from the Earth’s atmosphere show that the flight data from the real and the virtual quadcopters are precise and very close to the prescribed target. The proof-of-concept of the mixed reality simulation of the quadcopter at the Earth atmosphere was verified and validated through several experimental flights of the F450 spider quadcopter with a Pixhawk flight controller with the restricted endurance at the airfield location of Hangang Drone Park in Seoul, South Korea. We concluded that the new generation drones integrated with lightweight electromagnetic propulsion devices are a viable option for achieving unrestricted flight endurance with improved payload capability for Earth and other planetary explorations with the aid of mixed reality simulation to meet the mission flight path demands. This study provides insight into mixed reality simulation aiming for Mars explorations and high-endurance missions in the Earth’s atmosphere with credibility using quadcopter drones regulated by dual-head electromagnetic propulsion devices