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Flex Cell Digital Twin with Two Industrial Robots

Overview

The flex-cell Digital Twin is a case study with two industrial robotic arms, a UR5e and a Kuka LBR iiwa 7, working in a cooperative setting on a manufacturing cell.

Flex-cell Physical Setup

The case study focuses on the robot positioning in the discrete cartesian space of the flex-cell working space. Therefore, it is possible to send (X,Y,Z) commands to both robots, which refer to the target hole and height they want should move to.

The flex-cell case study is managed using the TwinManager (formerly DTManager), which is packed as a jar library in the tools, and run from a java main file.

The TwinManager uses Maestro as a slave for co-simulation, so it generates the output of the co-simulation and can interact with the real robots at the same time (with the proper configuration and setup). The mainfile can be changed according to the application scope, i.e., the /workspace/examples/tools/flex-cell/FlexCell.java can be manipulated to get a different result.

The /workspace/examples/models/flex-cell/ folder contains the .fmu files for the kinematic models of the robotic arms, the .urdf files for visualization (including the grippers), and the .aasx files for the schema representation with Asset Administration Shell.

The case study also uses RabbitMQFMU to inject values into the co-simulation, therefore, there is the rabbitmqfmu in the models folder as well. Right now, RabbitMQFMU is only used for injecting values into the co-simulation, but not the other way around. The TwinManager is in charge of reading the values from the co-simulation output and the current state of the physical twins.

Example Structure

Flex-cell system architecture with the DT Manager

Digital Twin Configuration

This example uses seven models, five tools, six data, two functions, and one script. The specific assets used are:

Asset Type Names of Assets Visibility Reuse in Other Examples
Model kukalbriiwa_model.fmu Private No
kuka_irw_gripper_rg6.urdf Private No
kuka.aasx Private No
ur5e_model.fmu Private No
ur5e_gripper_2fg7.urdf Private No
ur5e.aasx Private No
rmq-vhost.fmu Private Yes
Tool maestro-2.3.0-jar-with-dependencies.jar Common Yes
TwinManagerFramework-0.0.2.jar Private Yes
urinterface Private No
kukalbrinterface Private No
robots_flexcell Private No
FlexCell.java (main script) Private No
Data publisher-flexcell-physical.py Private No
ur5e_mqtt_publisher.py Private No
connections.conf Private No
outputs.csv Private No
kukalbriiwa7_actual.csv Private No
ur5e_actual.csv Private No
Function plots.py Private No
prepare.py Private No

Lifecycle Phases

The lifecycles that are covered include:

  1. Installation of dependencies in the create phase.
  2. Preparing the credentials for connections in the prepare phase.
  3. Execution of the experiment in the execution phase.
  4. Saving experiments in the save phase.
  5. Plotting the results of the co-simulation and the real data coming from
  6. the robots in the analyze phase.
  7. Terminating the background processes and cleaning up the outputs in the termination phase.
Lifecycle Phase Completed Tasks
Create Installs Java Development Kit for Maestro tool, Compiles source code of DTManager to create a usable jar package (used as tool)
Prepare Takes the RabbitMQ and MQTT credentials in connections.conf file and configures different assets of DT.
Execute The DT Manager executes the flex-cell DT and produces output in data/flex-cell/output directory
Save Save the experimental results
Analyze Uses plotting functions to generate plots of co-simulation results
Terminate Terminating the background processes
Clean Cleans up the output data

Run the example

To run the example, change your present directory.

cd /workspace/examples/digital twins/flex-cell

If required, change the execute permission of lifecycle scripts you need to execute, for example:

chmod +x lifecycle/create

This example requires Java 11. The create script installs Java 11; however if you have already installed other Java versions, your default java might be pointing to another version. You can check and modify the default version using the following commands.

java -version
update-alternatives --config java

Now, run the following scripts:

Create

Installs Open Java Development Kit 11 and pip dependencies. Also creates DTManager tool (DTManager-0.0.1-Maestro.jar) from source code.

lifecycle/create

Prepare

Configure different assets of DT with these credentials. The functions/flex-cell/prepare.py script is used for this purpose. The only thing needed to set up the connection is to update the file /workspace/examples/data/flex-cell/connections.conf with the connection parameters for MQTT and RabbitMQ and then execute the prepare script.

lifecycle/prepare

The following files are updated with the configuration information:

  1. /workspace/examples/digital_twins/flex-cell/kuka_actual.conf
  2. /workspace/examples/digital_twins/flex-cell/ur5e_actual.conf
  3. /workspace/examples/tools/flex-cell/publisher-flexcell-physical.py
  4. modelDescription.xml for the RabbitMQFMU require special credentials to connect to the RabbitMQ and the MQTT brokers.

Execute

Execute the flex-cell digital twin using DTManager. DTManager in-turn runs the co-simulation using Maestro. Generates the co-simulation output.csv file at /workspace/examples/data/flex-cell/output.

lifecycle/execute

Save

Each execution of the DT is treated as a single run. The results of one execution are saved as time-stamped co-simulation output file in The DT Manager executes the flex-cell digital twin and produces output in data/flex-cell/output/saved_experiments directory.

lifecycle/execute

Analyze

There are dedicated plotting functions in functions/flex-cell/plots.py. This script plots the co-simulation results against the recorded values from the two robots.

lifecycle/analyze

Terminate

Stops the Maestro running in the background. Also stops any other jvm process started during execute phase.

lifecycle/terminate

Clean

Removes the output generated during execute phase.

lifecycle/clean

Examining the results

Executing this Digital Twin will generate a co-simulation output, but the results can also be monitored from updating the /workspace/examples/tools/flex-cell/FlexCell.java with a specific set of getAttributeValue commands, such as shown in the code. That main file enables the online execution and comparison on Digital Twin and Physical Twin at the same time and at the same abstraction level.

The output is generated to the /workspace/examples/data/flex-cell/output folder. In case a specific experiments is to be saved, the save lifecycle script stores the co-simulation results into the /workspace/examples/data/flex-cell/output/saved_experiments folder.

In the default example, the co-simulation is run for 10 seconds in steps of 0.5 seconds. This can be modified for a longer period and different step size. The output stored in outputs.csv contains the joint position of both robotic arms and the current discrete (X,Y,Z) position of the TCP of the robot. Additional variables can be added, such as the discrete (X,Y,Z) position of the other joints.

When connected to the real robots, the tools urinterface and kukalbrinterface log their data at a higher sampling rate.

References

The RabbitMQ FMU github repository contains complete documentation and source code of the rmq-vhost.fmu.

More information about the DT Manager and the case study is available in:

  1. D. Lehner, S. Gil, P. H. Mikkelsen, P. G. Larsen and M. Wimmer, "An Architectural Extension for Digital Twin Platforms to Leverage Behavioral Models," 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 2023, pp. 1-8, doi: 10.1109/CASE56687.2023.10260417.
  2. S. Gil, P. H. Mikkelsen, D. Tola, C. Schou and P. G. Larsen, "A Modeling Approach for Composed Digital Twins in Cooperative Systems," 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), Sinaia, Romania, 2023, pp. 1-8, doi: 10.1109/ETFA54631.2023.10275601.
  3. S. Gil, C. Schou, P. H. Mikkelsen, and P. G. Larsen, “Integrating Skills into Digital Twins in Cooperative Systems,” in 2024 IEEE/SICE International Symposium on System Integration (SII), 2024, pp. 1124–1131, doi: 10.1109/SII58957.2024.10417610.