Skip to main content

Adapter for FMUs (ME or CS) in mosaik

Project description

This mosaik-fmi adapter allows to couple FMUs, which are based on the FMI standard (https://fmi-standard.org) with mosaik.

Installation

Test

The FMUs for the test is based on https://github.com/modelica/Reference-FMUs.

How to Use

Specify simulator configurations within your scenario script:

sim_config = {
    'FMI': {
        'python': 'mosaik_fmi.mosaik_fmi:FmuAdapter',
    },
    ...
}

Initialize the FMU Simulator:

fmu_sim = world.start('FMI',
                    integrator='integratorCK',
                    work_dir='path/to/the/fmu/directory',
                    fmu_name='FMU_name',
                    fmi_version='2',
                    fmi_type='cs',
                    logging_on=False,
                    instance_name='FMU_name',
                    step_size=60*60)

Instantiate FMU model entity:

fmu_entity = fmu_sim.FMU_name.create(1,
                             input_1=1.0,          #  FMU input variable
                             input_2=2.0,          #  All variables are listed in modelDescription.xml
                             ...
                             )

Connect FMU output to another simulator’s input:

world.connect(fmu_entity[0], other_simulator,'fmu_output_1', 'simulator_input_1')

Selecting integrator

Refer to https://fmipp.readthedocs.io/projects/py-fmipp/en/latest/getting-started/model-exchange.html#classes-fmumodelexchangev1-and-fmumodelexchangev2 for choosing different integration algorithms

Getting help

If you need help, please visit the mosaik-users mailing list .

Changelog

1.0 – 2023-06-14

  • New: add test cases to test FMI v1 and v2

  • Fix: model identifier parsing fixed for FMI v1

  • Update: use fmipp.export.fmippex instead of fmipp

0.2 – 2022-02-23

  • Fix: FMI model identifier instead of model name needed to create FMU using fmipp

0.1 – 2020-08-14

  • Initial release

Authors

The adapter was initially developed by Cornelius Steinbrink and updated and extended by Thomas Raub,

Jan Sören Schwarz, Sharaf Alsharif and Annika Ofenloch.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mosaik_fmi-1.0.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

mosaik_fmi-1.0-py3-none-any.whl (7.8 kB view details)

Uploaded Python 3

File details

Details for the file mosaik_fmi-1.0.tar.gz.

File metadata

  • Download URL: mosaik_fmi-1.0.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for mosaik_fmi-1.0.tar.gz
Algorithm Hash digest
SHA256 fcb8db73b14c5e5648a9a83477da1058f22bf711921c452f14f927e3055c3322
MD5 03e18c13160270effbb539ed46fb2f3a
BLAKE2b-256 89df8819e27e6dbaf53e44f8236b620876638e075611665220b174c7c5d14738

See more details on using hashes here.

Provenance

File details

Details for the file mosaik_fmi-1.0-py3-none-any.whl.

File metadata

  • Download URL: mosaik_fmi-1.0-py3-none-any.whl
  • Upload date:
  • Size: 7.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for mosaik_fmi-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 690328413ba5b4a430c010902fd4f8d7d34c25eff72b2482b09f72a9f9fdb154
MD5 d823406fb9b105099be031cfefad15ad
BLAKE2b-256 5825f498300d799d32be00515e13adef692c51e23f7aab90327d130182fd5fe0

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page