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Modia3D

Modeling and Simulation of 3D systems

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Modia3D

Travis AppVoyer codecov.io Stable Latest The MIT License

Modia Platform

The Modia platform is a prototype system for the next modeling and simulation generation of physical systems described by differential and algebraic equations. It consists currently of the following Julia packages that are all under development (not all are yet publicly available):

Modia3D

Modia3D provides 3D geometry to physical systems so that geometrical objects can be directly accessed and utilized in a model. Functions are provided, for example, to compute the volume, mass, and inertia of a geometrical object or the distance between two objects. Furthermore, Modia3D models 3D mechanical systems and shall be expanded into other domains in the future (for example to utilize the 3D geometry to model heat flow in buildings or satellites). In the future it will be possible, for example, to model the 3D mechanical part of a robot with Modia3D and the electrical motors and gearboxes that are driving the joints with Modia.

Modia3D uses ideas from modern computer game engines to achieve a highly flexible setup of mechanical systems including collision handling. Other features are utilized from multi-body programs, such as support for closed kinematic loops, and elastic response calculation. The underlying mathematical formulation are hybrid Differential Algebraic Equations (DAEs) that are solved with the variable-step solver IDA via the Sundials.jl Julia package.

Collision handling with elastic response calculation is performed for geometrical objects that are defined with a contact material and have a convex geometry or are approximated by the convex hull of a concave geometry. Penetration depths and Euclidean distances are computed with the improved Minkowski Portal Refinement (MPR) algorithm [1]. The details of the contact law are provided in [5] and several examples are discussed in [4]. The user's view of Modia3D is introduced in [2] showing the very flexible definition of 3D systems. Some key algorithms are discussed in [3]. A more detailed overview of the available features is also given in the Modia3D documentation.

Papers and videos about Modia3D:

3D Renderer and Work-In-Progress Web App

Modia3D provides a generic interface to visualize simulation results with different 3D renderers. The free community edition as well as the professional edition of the DLR Visualization library are supported. Currently, another team is developing the free 2D/3D web-based authoring tool Modiator that includes result visualization, but it is not yet publicly available.

Installation

Modia3D is registered in METADATA.jl and can be installed in the following way (Julia >= 1.0 is required):

julia> ]add Modia3D
        add ModiaMath  # in order to use simulate!(..) and plot(..)
        add PyPlot     # in order that plots are shown

Modia3D uses PyPlot for plotting. If PyPlot is not available in your current Julia environment an information message is printed and all plot(..) calls are ignored.

In order that plot windows are displayed, you need to add PyPlot to your current environment via ]add PyPlot. Often this automatic installation fails and it is recommended to follow the instructions Installing PyPlot in a robust way.

Modia3D visualizes the movement of 3D objects with a renderer. Currently, the (free) community or the (commercial) professional version of the DLR Visualization library are supported. To install the free version for Windows or for Linux perform the following steps:

  1. Go to https://visualization.ltx.de/, provide your contact information and click on Request download for Community Edition. Afterwards, you get a link to download the library and you need to unzip the file.

  2. In your Julia startup file (HOME/.julia/config/startup.jl) include the environment variable ENV["DLR_VISUALIZATION"] = "<path-to-library>/Visualization/Extras/SimVis". Make sure that the SimVis executable under this directory has execution rights. For example in Linux with command:chmod +x <path-to-library>/Visualization/Extras/SimVis

  3. Start Julia and run one of the examples, for example include("$(Modia3D.path)/examples/dynamics/Simulate_DoublePendulumWithDampers.jl")

If Modia3D cannot use one of the renderers above, it will continue with renderer NoRenderer where result animation is switched off.

Example

Define a simple pendulum model

import ModiaMath  # Simulation environment
using  Modia3D

visuMaterial1 = Modia3D.Material(color="LightBlue", transparency=0.3);
visuMaterial2 = Modia3D.Material(color="Red");

@assembly Pendulum(;Lx = 1.0, Ly=0.2*Lx, Lz=0.2*Lx) begin
   world    = Object3D(Modia3D.CoordinateSystem(0.5*Lx))
   beam     = Object3D(Modia3D.Solid(Modia3D.SolidBeam(Lx,Ly,Lz), "Aluminium", visuMaterial1))
   bearing  = Object3D(beam; r=[-Lx/2, 0.0, 0.0])
   cylinder = Object3D(bearing,Modia3D.Cylinder(Ly/2,1.2*Ly; material=visuMaterial2))
   revolute = Modia3D.Revolute(world, bearing)
end;
simulationModel = Modia3D.SimulationModel(Pendulum(Lx=0.8),stopTime=5.0);

Two visualization materials (visuMaterial1, visuMaterial2) are defined, and optional parameters (color, transparency) are set. There are further optional parameters, but they are not used here.

The hierarchical structure of the pendulum is defined with the @assembly macro. A SimulationModel defines the top assembly and other properties needed for simulation (e.g. a default value for the stopTime).

Constructor Object3D generates a coordinate system in 3D with optional associated data, defining for example a geometry and/or mass properties. If the first argument of the constructor is another Object3D, then the generated Object3D is defined relatively to the coordinate system of its first argument. Function Revolute generates a revolute joint that constrains the movement of two Object3Ds.

Simulate, animate and plot results

result = ModiaMath.simulate!(simulationModel);
ModiaMath.plot(result, ["revolute.phi", "revolute.w"]);

PendulumPlot

The model is simulated with the ModiaMath command simulate!, and the results are plotted (see right part of figure). A 3D animation is shown, if the DLR Visualization Library is enabled (see left part of figure).

Run examples

Many examples are provided under $(Modia3D.path)/examples. The following code shows how to execute some of these examples.

  import Modia3D
  include("$(Modia3D.path)/examples/dynamics/Simulate_Pendulum_explained.jl")
  include("$(Modia3D.path)/examples/dynamics/Simulate_DoublePendulumWithDampers.jl")
  include("$(Modia3D.path)/examples/collisions/Simulate_NewtonsCradle.jl")
  include("$(Modia3D.path)/examples/collisions/Simulate_YouBot.jl")
  include("$(Modia3D.path)/examples/kinematics/Move_FourBar.jl")
  include("$(Modia3D.path)/examples/visual/Move_AllVisualObjects.jl")

Complex Model Simulation

At this package status more complex model simulations are possible, for example, a robot is kicking a ball off a table. See $(Modia3D.path)/examples/collisions/Simulate_YouBot.jl:

PendulumPlot

Run tests

  import Modia3D
  include("$(Modia3D.path)/test/runtests.jl")

Additionally to unit tests defined in runtests.jl, there are further test examples available under $(Modia3D.path)/test.

Status

The package has been tested with Julia on Windows 7, via the TravisCL on Linux (x86_64-pc-linux-gnu) and macOS (x86_64-apple-darwin14.5.0) and via the Appveyor CL on Windows.

Note, the collision handling is currently reasonably working for contacts between spheres as well as spheres and boxes. Still improvements are needed. Furthermore, kinematic loops are currently only supported for 2D loops and if they are driven kinematically. The technique to handle kinematic loops for dynamic simulations is demonstrated in the example include("$(ModiaMath.path)/examples/withoutMacros_withoutVariables/Simulate_PendulumDAE.jl") and is described in the paper Transformation of Differential Algebraic Array Equations to Index One Form.

Up to now, Modia3D is implemented for functionality and not tuned for efficiency. Therefore, there are no benchmarks yet and in particular no comparison with Modelica models.

Documentation

  • STABLEdocumentation of the last released version.
  • LATESTin-development version of the documentation.

Issues and Contributions

Contributions are welcome, as are feature requests and suggestions. Please open an issue in this case and also if you encounter problems.

Main Developers and License

Andrea Neumayr and Martin Otter

DLR - Institute of System Dynamics and Control

License: MIT (expat)

First Commit

08/05/2018

Last Touched

6 days ago

Commits

193 commits

Used By: