Construction of Multi-Domain System Simulation Model for Trade Studies in System Design Considering Multiple Scenes

2019 ◽  
Author(s):  
Kazuya Oizumi ◽  
Keita Ishida ◽  
Yoshihiro Uchibori ◽  
Kazuhiro Aoyama
Keyword(s):  
Simulation Model ◽  
System Design ◽  
Systems Engineering ◽  
System Simulation ◽  
Cognitive Model ◽  
Simulation Models ◽  
Modelling Method ◽  
Variable Transmission ◽  
Physical Phenomena ◽  
Model Based Systems Engineering

Abstract As a product is sold globally, usages of the product have much wider variety. Thus, a product needs to be designed considering multiple scenes. To certify that the product performs properly in any scene, industries started to apply Model Based Systems Engineering (MBSE). Whereas multi-domain system simulations are regarded as a prominent approach for the system design of a product, construction of model depends on knowledge and sense modelers. This paper proposes a modelling method to construct appropriate multi-domain system simulation models while reducing dependencies to senses of modelers. The proposed method comprises two parts. First, significant tradeoffs to be studied by the simulation are specified. Second, features of simulation models are deliberated for specified tradeoffs. To specify significant tradeoffs, product and scenes where the product is used are integrated into a model. Further, to deliberate features of simulation model, cognitive model of physical phenomena in a product is employed as well. The proposed method was applied to the development of continuously variable transmission to verify its validity.

scholarly journals Model Driven Combat Effectiveness Simulation Systems Engineering

2020 ◽  
Vol 70 (1) ◽  
pp. 54-59
Author(s):  
Zhi Zhu ◽  
Yonglin Lei ◽  
Yifan Zhu
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Conceptual Model ◽  
Systems Engineering ◽  
Simulation Models ◽  
Proof Of Concept ◽  
Model Driven Engineering ◽  
Model Driven ◽  
Combat Effectiveness ◽  
Simulation Systems

Model-driven engineering has become popular in the combat effectiveness simulation systems engineering during these last years. It allows to systematically develop a simulation model in a composable way. However, implementing a conceptual model is really a complex and costly job if this is not guided under a well-established framework. Hence this study attempts to explore methodologies for engineering the development of simulation models. For this purpose, we define an ontological metamodelling framework. This framework starts with ontology-aware system conceptual descriptions, and then refines and transforms them toward system models until they reach final executable implementations. As a proof of concept, we identify a set of ontology-aware modelling frameworks in combat systems specification, then an underwater targets search scenario is presented as a motivating example for running simulations and results can be used as a reference for decision-making behaviors.

A Structured, Model-Based Systems Engineering Methodology for Operations System Design

2016 ◽  
Author(s):  
Duane L. Bindschadler ◽  
Charlene P. Valerio ◽  
Robert R. Smith ◽  
Kathryn A. Schimmels
Keyword(s):  
System Design ◽  
Systems Engineering ◽  
Structured Model ◽  
Model Based ◽  
Model Based Systems Engineering

scholarly journals Leveraging Digital Twin Technology in Model-Based Systems Engineering

Systems ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 7 ◽  
Author(s):  
Azad Madni ◽  
Carla Madni ◽  
Scott Lucero
Keyword(s):  
Systems Engineering ◽  
Physical System ◽  
System Simulation ◽  
Virtual Prototype ◽  
Digital Representation ◽  
Digital Twin ◽  
Model Based ◽  
Digital Twins ◽  
Status Data ◽  
Model Based Systems Engineering

Digital twin, a concept introduced in 2002, is becoming increasingly relevant to systems engineering and, more specifically, to model-based system engineering (MBSE). A digital twin, like a virtual prototype, is a dynamic digital representation of a physical system. However, unlike a virtual prototype, a digital twin is a virtual instance of a physical system (twin) that is continually updated with the latter’s performance, maintenance, and health status data throughout the physical system’s life cycle. This paper presents an overall vision and rationale for incorporating digital twin technology into MBSE. The paper discusses the benefits of integrating digital twins with system simulation and Internet of Things (IoT) in support of MBSE and provides specific examples of the use and benefits of digital twin technology in different industries. It concludes with a recommendation to make digital twin technology an integral part of MBSE methodology and experimentation testbeds.

Study on Model-Based Systems Engineering Method for Modeling of Thermal Power System

2020 ◽  
Author(s):  
Jinwei Chen ◽  
Yuanfu Li ◽  
Zhenchao Hu ◽  
Huisheng Zhang
Keyword(s):  
Power Systems ◽  
Simulation Model ◽  
Design Process ◽  
Systems Engineering ◽  
Thermal Power ◽  
Performance Simulation ◽  
Modeling Process ◽  
Logic Verification ◽  
Relative Design ◽  
Model Based Systems Engineering

Abstract Thermal power systems, particularly with large capacity and high operating parameters, are more and more complicated nowadays, which include machinery, electronics, electrical, hydraulic, thermal, control, and process-oriented subsystems. The traditional development method based on documents has the problems of difficulty to reuse the designed elements, weak traceability of requirements, and lack of top-level logic verification. Moreover, there is a large gap because different models, tools and terminology are used during design process. The gap results in inefficiencies and quality issues that can be very expensive. In this paper, a model-based systems engineering (MBSE) approach is introduced for the top-down design flow of thermal power systems. The MBSE method can perfected the requirement definition, complete the mapping of the requirements to the system elements, realize the function logic verification, and support requirements verification at all stages. A GOPPRR (graph, object, point, property, role, relationship) meta-modeling method is proposed to support the MBSE formalisms. An Architecture Analysis and Design Integrated Approach (Arcadia) framework is adopted to capture the complex architecture, which is a standardized modeling method including requirement analysis, function analysis, logic analysis, and architecture design. Based on the architecture-driven algorithm and code generation, the standardized modeling process can establish a traceable relationship at each design stage and can verify the availability of initial requirements. Moreover, the designed elements of previous work can be reused in other relative design processes. The proposed MBSE method in this paper is applied to establish a gas turbine performance simulation model. The entire modeling process is enhanced by managing the relative design information consistently. The performance of the design process with MBSE method is analyzed and compared from different aspects. The results show that the performance simulation model of the power system established by the MBSE method can effectively describe the requirements, functions, logic, and architecture during design process. Based on the MBSE method, the requirements of the system are refined, traced and verified.

Design and Simulation Research of Airborne DC Converter

2011 ◽  
Vol 347-353 ◽  
pp. 314-318 ◽  
Author(s):  
Qun Min Yan
Keyword(s):  
Simulation Model ◽  
System Design ◽  
System Simulation ◽  
Power Conversion ◽  
Functional Requirements ◽  
Working Mechanism ◽  
Simulation Research ◽  
Future Design ◽  
Test Circuit ◽  
Simulation Results

Airborne DC converter is the most important secondary aircraft power conversion equipment, analysis of some Airborne DC-DC converter's working mechanism, according to the actual requirements of the system design the converter main circuit. Meanwhile, calculated the logic test circuit parameters, build a simulation model of Airborne DC converter with the saber software, simulated and tested the system, simulation results show that the system design come to the corresponding functional requirements, and finally optimized the system using the results of simulation, and ultimately make the system more reasonable, for the future design of airborne converter provides a useful reference.

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