Simulation Model Portability Research Articles

Tools of Computer Modeling of the Space Systems’ Onboard Equipment Functioning

The article describes a tool software complex allowing to build, execute and integrate simulation models of the space systems’ onboard equipment functioning. It is based on a reuse technology defined by the international Simulation Model Portability (SMP2) standard. Along with the standard rules for building integrable models, we have designed additional original tools of information-graphical and intellectual modeling. In this way, we provide graphical construction of onboard systems’ architecture models, set the methods of model function and determine the options of command execution by onboard equipment. This work is part of creation of software for the problem-oriented simulation modeling infrastructure in space industry. This software complex will allow designers not only to build their own onboard systems’ models, but also to unite simulators of the equipment produced by different companies and to make simulation tests for preparation and analysis of technical projects. Our approach provides economic and technological advantages for space industry’s knowledge-intensive production development.

Software Tools for Modeling Space Systems’ Equipment Command-and-Software Control

The article describes the instruments allowing to create software models of the space systems’ onboard equipment function. We have developed the original methods and tools allowing to build information-and-graphical models describing the onboard systems’ architecture. The model function are set in the knowledge bases and allow to describe different variants of the onboard equipment command control. We are working within the area of creation of software for the problem-oriented simulation infrastructure based on the Simulation Model Portability standard. Our software complex will allow an onboard systems’ designer to conduct simulation tests for preparation and analysis of technical projects.

Integration Technology of the Onboard Equipment Simulation Models in Simulation Modeling Infrastructure

In this article we present the integration technology of spacecraft onboard systems’ simulation models in original infrastructure of simulation modeling based on the international Simulation Model Portability (SMP2) standard. We have described the technological stages of metamodel building to unite onboard systems’ models in a one complex solution. This technology allows to build simulation models in terms of the subject area and provides their translation into software components working in accordance with SMP2 standard. Simulation models’ realization in infrastructure will make it possible to provide creation of complex solutions and will help accumulation and usage of expert knowledge about spacecraft onboard equipment function.

A Model Integration Framework Based Portability for GNSS Simulation

Performance Simulation for Global Navigation Satellite System (GNSS) that be used for performance simulation and evaluation analysis of the GNSS, is a part of the critical algorithm test and system index analysis for GNSS. In this article, the requirements of GNSS are analyzed firstly, and the characteristic of model portability for GNSS is studied, then the model integration framework based on Simulation Model Portability is proposed. The system architecture consists of model design, development, integrating, executing and analysis. Lastly, the regional performance of GALILEO Navigation Satellite System in China is tested and analyzed based on the integration framework.

A Parallel Simulation Method for Performance Analysis of GNSS

In this paper, we proposed a parallel simulation method for performance analysis of the Global Navigation Satellite System (GNSS) based on simulation model portability 2(SMP2) and service-oriented modeling method. GNSS is a space engineering system with a large-scale and complex structure, and the proposed method can be used to construct large complex simulation systems to gain the reusability, composability and interoperability of heterogeneous simulation resources. Firstly, the method including the conceptual framework, system architecture and system engineering process is introduced. Then the parallel model development, composition and schedule method are detailed respectively. Finally, a distributed M&S environment based on service-oriented SMP2 is designed, and an example of navigation system volume simulation is given to validate the whole method.

SMP2-based Architecture for Navigation Satellite System Simulation

The Performance Simulation for the Global Navigation Satellite System (GNSS), which can be used in the performance simulation and evaluation analysis of the Service Volume Segment of the GNSS is a part of the critical algorithm test and system index analysis for the GNSS. In this article, the requirements and features of the GNSS are analyzed firstly, and the method of performance simulation for the GNSS is studied. Then, the system operation architecture and model integration architecture based on compassable simulation based on Simulation Model Portability (SMP2) is proposed. The system architecture consists of model design, development, integrating, executing and analysis, and can be used in simulation for diffe rent types of analyses such as those on visibility, coverage, geometry, Dilution of Precision (DOP), Navigation System Performance (NSP), and the availability and continuity of the Navigation System. Finally, the regional performance of the GALILEO Navigation Satellite System in China is analyzed based on the architecture and method, which can fit the features and satisfy the requirements of GN SS simulation.

Navigation System Volume Simulation based on DPSSF

To resolve the model integration problem in Navigation System Volume Simulation (SVS), A distributed & parallelized simulation framework based on Simulation Model Portability (SMP2) and Service-Oriented Architecture (SOA) is promoted. The SVS and its main criterions are introduced and then a simulation SVS model framework is propounded. The distributed & parallelized SMP2 simulation framework based on SOA (DPSSF) is detailed. At last, a example of global or regional visibility analysis is given to show how the DPSSF is used in SVS.

SMI Compatible Simulation Scheduler Design for Reuse of Model Complying with SMP Standard

Software reusability is one of key factors which impacts cost and schedule on a software development project. It is very crucial also in satellite simulator development since there are many commercial simulator models related to satellite and dynamics. If these models can be used in another simulator platform, great deal of confidence and cost/schedule reduction would be achieved. Simulation model portability (SMP) is maintained by European Space Agency and many models compatible with SMP/simulation model interface (SMI) are available. Korea Aerospace Research Institute (KARI) is developing hardware abstraction layer (HAL) supported satellite simulator to verify on-board software of satellite. From above reasons, KARI wants to port these SMI compatible models to the HAL supported satellite simulator. To port these SMI compatible models to the HAL supported satellite simulator, simulation scheduler is preliminary designed according to the SMI standard.

A transformation model from DEVS to SMP2 based on MDA

Simulation Model Portability standard 2 (SMP2) is a successful simulation model reuse standard in European Space Agency. Discrete Event System Specification (DEVS) is one of most common and powerful simulation model formalisms. Transforming a simulation model from DEVS representation to SMP2 representation is of great significance for model reuse. A Model Driven Architecture (MDA) based transformation methodology is presented first. According to this methodology, a MOF based DEVS metamodel is created and the mappings from DEVS metamodel to SMP2 metamodel are established. A transformation model from DEVS to SMP2 is described based on Query/View/Transformation (QVT) language. An illustrative example is detailed to demonstrate the application of the transformation model. The transformation model’s further application strategy and our next work are discussed in the final part.