Explore Hopsan, from Linköping University, a simulator for modeling multi-domain fluid power and mechatronic systems used in engineering and research. The tool implements Transmission Line Modeling to handle stiff systems, offers a drag-and-drop graphical editor, supports custom C++ and Modelica components, and exports FMUs for co-simulation. Native multi-core C++ simulation core, built-in optimization and frequency analysis, plus Python and HCOM scripting for batch runs. Aimed at mechanical and mechatronic engineers, academics and students who need stable, parallel-capable system simulation.

How Hopsan models stiff multi-domain systems using Transmission Line Modeling

Hopsan is built around the Transmission Line Modeling technique, which decouples components through physically motivated time delays, permitting stable simulation of stiff hydraulic and mechatronic networks. The tool supports hydraulics, pneumatics, mechanics and electrical domains, and models are assembled with a graphical drag-and-drop editor or by adding custom components implemented in C++ or Modelica. It also supports FMU import/export, which helps integrate models into other toolchains.

How the tool uses parallel execution to reduce long run times

The simulation core is written in C++ with native multi-core support, and the architecture is optimised for modern hardware to accelerate large industrial models. In addition, the TLM approach provides a natural mechanism for parallel processing across cores, so batch and large-scale simulations can make use of multiple threads. This design shortens turnaround for parameter sweeps and complex system studies.

Is Hopsan acceptable and secure for industrial and academic workflows?

Hopsan is regularly cited in academic research and used in industry, including aircraft flight control and hydraulic pump optimisation for electric vehicles, which demonstrates practical applicability. The simulation core is open under Apache License 2.0 and the GUI under GPLv3, offering source transparency. Functional Mock-up Interface support enables co-simulation with external tools, which aids reproducibility and integration in research environments.

Do users need programming knowledge to operate Hopsan effectively?

The graphical editor lowers the entry barrier for constructing standard models, but meaningful customization often requires programming in C++ or Modelica, and automated workflows use HCOM or Python scripting. Consequently, engineers and researchers gain full value quickly, while casual users or newcomers to system modeling face a noticeable learning curve to use advanced features safely.

Hopsan suits technically minded engineers and researchers, with a clear trade-off

Hopsan is a capable option for mechanical and mechatronic engineers, academics, and students who require a transparent, research-grade simulator for complex system studies; the principal trade-off is a steeper learning curve for users without modeling experience. Practical tip: run heavy simulation jobs on a dedicated workstation and reuse example models as templates to reduce setup time and shorten experiment cycles.