Browse Topic: Simulation and modeling
ABSTRACT This paper presents a flexible, modular model architecture in Modelica for system modeling and simulation of military ground vehicles. The model platform and implemented interfaces are flexible enough to support virtual prototyping of conventional and hybrid vehicles with various physical architectures such as series, parallel, hydraulic, and plug-in implementations. Several sample model implementations of conventional and concept hybrid military ground vehicles are presented to illustrate the usage and flexibility of the model architecture to support systems engineering activities by maximizing model re-use throughout the product development process from concept assessment and design through testing and verification
ABSTRACT BAE Systems Combat Simulation and Integration Labs (CSIL) are a culmination of more than 14 years of operational experience at our SIL facility in Santa Clara. The SIL provides primary integration and test functions over the entire life cycle of a combat vehicle’s development. The backbone of the SIL operation is the Simulation-Emulation-Stimulation (SES) process. The SES process has successfully supported BAE Systems US Combat Systems (USCS) SIL activities for many government vehicle development programs. The process enables SIL activities in vehicle design review, 3D virtual prototyping, human factor engineering, and system & subsystem integration and test. This paper describes how CSIL applies the models, software, and hardware components in a hardware-in-the-loop environment to support USCS combat vehicle development in the system integration lab
ABSTRACT In today’s competitive market, OEMs are racing towards developing more efficient vehicles without sacrificing on its performance. In this process, they’re forced to evaluate new technologies and designs in various subsystems. Most of the sub-systems today have become “intelligent”, which means that the controllers have become quintessential for the system’s behavior. Equally important are the physical behavior of the plant that needs to be controlled. These two independent groups have their own design and development cycle and the challenge for the companies have been in bridging the gap so as to identify potential failure modes. This paper discusses an Architecture-driven Model Based Development process that can address the challenges posed during the development. Three key enabling technologies – Imagine.Lab System Synthesis, Imagine.Lab SysDM & Imagine.Lab AMESim are leveraged in this process
ABSTRACT Operation of a virtual vehicle in order to perform dynamic evaluation of the design can be achieved through the use of augmented reality combined with a simulator. Many uses of virtual reality involve the evaluation of component packaging in a static although interactive manner. That is, the virtual reality (VR) participant can interactively view the virtual environment and perform some minor interactions such as toggling through alternative CAD models for comparison or changing the viewing position to another seat. The immersive 3D simulator system described in this paper enables the VR participant to perform operational tasks such as driving, gunnery and surveillance. Furthermore, this system incorporates augmented reality in order to allow the mixture of the virtual environment with physical controls for operating the virtual vehicle
ABSTRACT As part of DARPA’s Adaptive Vehicle Make (AVM) portfolio of programs, blast and ballistic survivability analysis tools were developed. The intent of these tools was to facilitate design and design optimization by making it possible for designers to perform survivability analysis from CAD and to automate the survivability analysis pipeline to allow optimization codes to invoke the survivability tools and obtain results. This paper describes some of the tools and their capabilities through highlighting five innovations utilized in the program: multi-fidelity modeling; automated meshing and welding; uncertainty quantification and 95% bounds; a large material property database and more accurate blast loads; and automating the entire computational pipeline
ABSTRACT The cannon Concept Technology Demonstrator is a U.S. military proof of concept 155 mm self-propelled howitzer platform. It demonstrated fully automated ammunition handling, weapon stabilization, and mobility in a 24-ton test platform. The next generation Concept Technology Demonstrator served as a transfer mechanism of capabilities from a heavyweight howitzer platform to a notional future lightweight self-propelled howitzer. Simulation model data of the demonstration platform vehicle response during weapon firing was contrasted with the initial notional lightweight system’s firing stability analysis. The results of this comparison stimulated an updated correlation effort. This correlation effort utilized test firings without chassis stabilizing spades to reveal physics-based simulation model fidelity requirements for future programs. Observations of simulation and system performance were used to define a systematic approach to simulation model fidelity improvements and
Summary This paper discusses the latest techniques in vehicle modeling and simulation to support ground vehicle performance and fuel economy studies, enable system design optimization, and facilitate detailed control system design. The Autonomie software package, developed at Argonne National Laboratory, is described with emphasis on its capabilities to support Model-in-the-Loop, Software-in-the-Loop (SIL), Component-in-the-Loop (CIL), and Hardware-in-the-Loop simulations. Autonomie supports Model-Based Systems Engineering, which is growing in use as ground vehicles become more sophisticated and complex, with many more subsystems interacting within the vehicle and the environmental conditions in which the vehicles operate becoming more challenging and varied. With the advent of hybrid powertrains, the additional dimension of vehicle architecture has become one of the design variables that must be considered. This complexity results in the need for a simulation tool that is capable of
ABSTRACT The Advanced Explosive Ordnance Disposal Robotic System (AEODRS) is a Navy-sponsored acquisition program developing a new generation of open, modular EOD robotic systems. In a previous paper, we described a common architecture for the AEODRS family of systems. The foundation of that architecture is the careful partitioning of an EOD robotic system into Capability Modules, and the definition of inter-module interfaces based on recognized and accepted open standards. In this paper, we describe an implementation approach selected to demonstrate the architecture’s contribution to subsystem and payload interoperability. We further describe an approach to incremental integration of independently developed subsystems and payloads into a mixed simulation System Testbed, allowing independent assessment of each integrand’s compliance with the defined interfaces of the architecture. We also illustrate how this incremental approach enables the integration process to proceed with reduced
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