Implementation and Comparison of Model Co-Simulation Methods in a Turbofan Model

被引:0
|
作者
Krouse, Charles [1 ]
Nelson-Weiss, Brendan [1 ]
机构
[1] Southwest Res Inst, 6220 Culebra Rd, San Antonio, TX 78238 USA
关键词
D O I
10.1109/AERO50100.2021.9438191
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The process of developing, parameterizing, validating, and maintaining models occurs within a wide variety of tools, and requires significant time and resources. To maximize model utilization, models are often shared between various toolsets and experts. Model integration is typically divided into two categories: model exchange and model co-simulation. Of these two categories, model co-simulation is typically regarded as the more complex and difficult to implement. Co-Simulation provides the ability to integrate models between different toolsets or incompatible versions of the same software. Additionally, it provides the capabilities for real-time simulations and hardware-in-the-loop test scenarios. This paper reviews some of the common co-simulation data communication methods including pipes and file input/output. The differences between serial and parallel, aka synchronous and asynchronous, communication patterns are also discussed. A simple turbofan model was developed to demonstrate the aforementioned methods. The turbofan model was developed in a legacy version of Numerical Propulsion System Simulation (NPSS), and this legacy model was integrated with a high-fidelity turbine model developed in a newer version of the NPSS software. The integration of the legacy turbojet model with the high-fidelity turbine is used to demonstrate how to integrate two models between incompatible software versions. This application can readily be extended to other co-simulation scenarios, such as real-time simulation. Integration of the two models was implemented using the aforementioned communication methods, synchronization mechanisms, and communication patterns. Relevant implementation details for the turbojet/turbine application are described, and a detailed discussion of the results and comparisons between different methods is provided.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Methods for organizing co-simulation among several participants
    Larsson, J
    Krus, P
    Palmberg, JO
    BATH WORKSHOP ON POWER TRANSMISSION AND MOTION CONTROL (PTMC 99), 1999, : 75 - 89
  • [32] NUMERICAL STABILITY OF EXPLICIT AND IMPLICIT CO-SIMULATION METHODS
    Li, P.
    Meyer, T.
    Lu, D.
    Schweizer, B.
    COUPLED PROBLEMS IN SCIENCE AND ENGINEERING VII (COUPLED PROBLEMS 2017), 2017, : 1249 - 1260
  • [33] Overview of the Co-simulation Methods for Power and Communication System
    Yi, Tang
    Feng, Li
    Qi, Wang
    Bin, Chen
    Ming, Ni
    2016 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2016, : 94 - 98
  • [34] Space Mapping with Co-Simulation Coarse Model for Accurate Modeling of Microwave Structures
    Koziel, Slawomir
    2010 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, 2010,
  • [35] An Electrical-Thermal Co-Simulation Model of Chiplet Heterogeneous Integration Systems
    Ma, Xiaoning
    Xu, Qinzhi
    Wang, Chenghan
    Cao, He
    Liu, Jianyun
    Zhang, Daoqing
    Li, Zhiqiang
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2024, 32 (10) : 1769 - 1781
  • [36] Co-Simulation Interface Model Reduction for Large-Scale Coupled Simulations
    Peeters, Jari
    Vermaut, Martijn
    Vanpaemel, Simon
    Naets, Frank
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2025, 126 (01)
  • [37] Research on regenerative braking strategies for hybrid electric vehicle by co-simulation model
    Guo H.
    Zhang J.
    Geng W.
    Cheng H.
    Yu H.
    International Journal of Vehicle Performance, 2021, 7 (3-4) : 188 - 206
  • [38] Development of Vehicle Dynamic Plant Model and Embedded Co-Simulation with ARM Platform
    Sonawane, Dayaram
    Hanwate, Sandeep D.
    Ubare, Pramod
    Marathe, R. N.
    Rao, G. Srinivasa
    Sahu, Manish
    2022 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS, PEDES, 2022,
  • [39] Multibody Dynamics Model of a Scissors Grab for co-simulation with Discrete Element Method
    Lommen, Stef W.
    Schott, Dingena L.
    Lodewijks, Gabriel
    FME TRANSACTIONS, 2012, 40 (04): : 177 - 180
  • [40] Circuit Model for the Efficient Co-Simulation of Spin Qubits and their Control & Readout Circuitry
    Gys, B.
    Mohiyaddin, F. A.
    Acharya, R.
    Li, R.
    De Greve, K.
    Gielen, G.
    Govorcanu, B.
    Radu, I. P.
    Catthoor, F.
    IEEE 51ST EUROPEAN SOLID-STATE DEVICE RESEARCH CONFERENCE (ESSDERC 2021), 2021, : 63 - 66