Seamless design process integration
LMS Imagine.Lab AMESim is an open platform for efficient integration with third-party software for control, real-time simulation, multi-body simulation, process integration and design optimization. Besides its integration functionality, LMS Imagine.Lab AMESim features a generic co-simulation interface to couple multi-domain system simulation to any kind of dynamic 3D model, for example, a computational fluid dynamic simulation or finite element analysis. This allows LMS Imagine.Lab AMESim to be seamlessly integrated into the extended digital development process.
Scripting: automate complex and repetitive tasks
A time-saving feature, LMS Imagine.Lab AMESim provides a comprehensive set of scripts that support programming in higher abstraction-level languages like Python, MATLAB, Scilab, Microsoft Excel or Visual Basic Application to automate model interaction for batch runs, perform complex or automated pre-processing, or integrate an AMESim model within an external application.
Control system design: maximal interaction
LMS Imagine.Lab AMESim is a complete systems engineering platform and Simulink from Mathworks is the de facto standard for control system design. How to link the two? The point-to-point AMESim-Simulink interface provides an easy-to-use and efficient tool to link an AMESim plant model with a Simulink control system model. Thanks to its simplified model exchange, users significantly benefit from more efficient communication between control systems teams and systems engineering teams as the link eliminates the need to re-write complex multi-domain models for various platforms. In addition, the Blackbox Export option allows users to export a standalone model into Simulink. This facilitates model sharing with suppliers, customers or other internal partners or departments using Simulink without rewriting the model itself.
A time-saving feature, LMS Imagine.Lab AMESim provides a comprehensive set of scripts that support programming in higher abstraction-level languages like Python, MATLAB, Scilab, Microsoft Excel or Visual Basic Application to automate model interaction for batch runs, perform complex or automated pre-processing, or integrate an AMESim model within an external application.Control system design: maximal interaction
LMS Imagine.Lab AMESim is a complete systems engineering platform and Simulink from Mathworks is the de facto standard for control system design. How to link the two? The point-to-point AMESim-Simulink interface provides an easy-to-use and efficient tool to link an AMESim plant model with a Simulink control system model. Thanks to its simplified model exchange, users significantly benefit from more efficient communication between control systems teams and systems engineering teams as the link eliminates the need to re-write complex multi-domain models for various platforms. In addition, the Blackbox Export option allows users to export a standalone model into Simulink. This facilitates model sharing with suppliers, customers or other internal partners or departments using Simulink without rewriting the model itself.Real Time: from high-fidelity modeling to HiL simulation
The Real Time option lets users export an AMESim model to a real-time hardware target for a hardware-in-the-loop (HIL) simulation. This makes it possible, for instance, to test an ECU before installing it in the real system and eliminate bugs early in the development process. Thanks to AMESim’s real-time functionality, creating a real-time simulation model is simpler and faster. Development cycle uncertainty resulting from late design process integration is practically eliminated, translating to significantly improved product quality and reliability.
LMS Imagine.Lab AMESim offers a similar kind of approach compatible with National Instruments products. Users of these measurement automation and control systems can export LMS Imagine.Lab AMESim models to LabVIEW and its Real-Time Module.
The Real Time option lets users export an AMESim model to a real-time hardware target for a hardware-in-the-loop (HIL) simulation. This makes it possible, for instance, to test an ECU before installing it in the real system and eliminate bugs early in the development process. Thanks to AMESim’s real-time functionality, creating a real-time simulation model is simpler and faster. Development cycle uncertainty resulting from late design process integration is practically eliminated, translating to significantly improved product quality and reliability.LMS Imagine.Lab AMESim offers a similar kind of approach compatible with National Instruments products. Users of these measurement automation and control systems can export LMS Imagine.Lab AMESim models to LabVIEW and its Real-Time Module.
Multi-Body: a scalable simulation process with 3D mechanical systems
Physical systems are often composed of different elements all working together, such as pneumatics, mechanics, hydraulics, electronics or control systems. Interactions between multi-disciplinary systems and complex multi-body systems can be difficult to manage in a single modeling software package. This is why users can connect AMESim to a specialized multi-body package, such as LMS Virtual.Lab Motion or MSC.ADAMS. The multi-body interfaces provided by LMS Imagine make it simple to model each sub-system directly in the appropriate environment and perform combined simulation using either model export facilities or co-simulation.
Physical systems are often composed of different elements all working together, such as pneumatics, mechanics, hydraulics, electronics or control systems. Interactions between multi-disciplinary systems and complex multi-body systems can be difficult to manage in a single modeling software package. This is why users can connect AMESim to a specialized multi-body package, such as LMS Virtual.Lab Motion or MSC.ADAMS. The multi-body interfaces provided by LMS Imagine make it simple to model each sub-system directly in the appropriate environment and perform combined simulation using either model export facilities or co-simulation.Process Integration: automate simulation across engineering disciplines
Besides native design exploration tools, AMESim provides users with an additional direct interface for Noesis OPTIMUS or iSIGHT through AMEPilot. AMEPilot features an easy way to initiate AMESim model runs from outside the platform. With this, users can simply change the model parameters to obtain post-treated simulation results. The AMESim Export module sets up suitably formatted parameters for AMEPilot.
Co-simulation: CAE software integration and legacy codes
Co-simulation means that two models are simulated within their own simulation environments (including solvers), but communicate at regular intervals. The Generic Co-simulation Interface is primarily intended for establishing co-simulation with third-party software, such as Computational Fluid Dynamics (CFD), but it can also be used for parallel AMESim-AMESim co-simulation.
Modeling Languages:
Besides native design exploration tools, AMESim provides users with an additional direct interface for Noesis OPTIMUS or iSIGHT through AMEPilot. AMEPilot features an easy way to initiate AMESim model runs from outside the platform. With this, users can simply change the model parameters to obtain post-treated simulation results. The AMESim Export module sets up suitably formatted parameters for AMEPilot. Co-simulation: CAE software integration and legacy codes
Co-simulation means that two models are simulated within their own simulation environments (including solvers), but communicate at regular intervals. The Generic Co-simulation Interface is primarily intended for establishing co-simulation with third-party software, such as Computational Fluid Dynamics (CFD), but it can also be used for parallel AMESim-AMESim co-simulation.Modeling Languages:
AMESim proprietary support and the open-source Modelica language
Modelica is an object-oriented modeling language designed for multi-disciplinary system modeling. LMS is a core team member in charge of language improvement and promoting the standard. LMS Imagine.Lab AMESim is able to import Modelica models and link them to models in the AMESim libraries, securing the investment users may have made in developing Modelica libraries.
Modelica is an object-oriented modeling language designed for multi-disciplinary system modeling. LMS is a core team member in charge of language improvement and promoting the standard. LMS Imagine.Lab AMESim is able to import Modelica models and link them to models in the AMESim libraries, securing the investment users may have made in developing Modelica libraries.
