MIL/ SIL/ HIL & Real-Time

Model-in-the-Loop, Software-in-the-Loop, Hardware-in-the-Loop and Real-Time Design of controlled systems requires the integration of both the mechanical and controls systems during the simulation phase in order to efficiently ensure proper results. This integration is done at different steps of the process, first with MiL ( Model-in-the-Loop) or SiL ( Software-in-the-Loop) and then in HiL ( Hardware-in-the-Loop) . The integration of plant model with controls model or code will ensure the required accuracy, as well as the accessibility of the variables needed for controls. With LMS Imagine.Lab AMESim, LMS proposes a unique integrated platform that provides realistic component and system models for every stage of the development cycle, enabling both system and control engineers to start evaluation and validation phases early in the design cycle. Development cycle uncertainty, resulting from late design process integration, is practically eliminated. LMS Imagine.Lab AMESim supports dSPACE® , xPC Target® , NI LabVIEW RT® , Opal-RT RT-LAB® , ETAS LABCAR® and HWA Create® products. Users of these control systems can export LMS Imagine.Lab AMESim models to one of these real-time platforms. Product Description Plant/ Control modeling There is a missing link between the engineers in charge of physical system detail design and the ones in charge of control systems. How do you validate the control system before hardware prototypes become available? The answer is to build validated real-time simulation of the behavior of the physical system and integrate the control system hardware and software combined with the simulation. The AMESim platform covers this missing link and provides unique capabilities from high-fidelity physical system modeling to validated real-time simulation. AMESim provides three main features: model reduction methods, suitable integration algorithms and automatic code generation for standard real-time targets. AMESim Model-in-the-Loop With Model-in-the-Loop in AMESim, users can design the control strategies with the help of a representative model of the system to pilot. Virtual models for the control ( Simulink® or equivalent) and the system ( AMESim) can be used and co-simulated for function specification or investigation on concepts. Plant models can be used by both the design team and control team. Several levels of models can be evaluated for a good accuracy/ CPU compromise. AMESim Software-in-the-Loop During the implementation stage, users can test control strategies ( software) using a plant model including CAN or FlexRay protocol. The generated C code for the control or a Simulink® model can be used in a “ virtual” real-time environment. AMESim model’ s export within Simulink is supported ( SiL within Simulink® ) as well as C code import for the control or a Simulink model with AMESim ( SiL within AMESim) . The system model can be adapted and tested with real-time simulation. For calibration with the detailed model, the software is connected to the plant model and the operating environment of the controller is simulated. AMESim Hardware-in-the-Loop For ECU testing and validation phases, control strategies implemented on the real ECU can be evaluated. Regulation, security and failure tests can be performed without any risk and the interaction between several ECU/ TCUs can be investigated, thus ensuring a high level of robustness and quality. The methodology provides an efficient and secure link with the model used for system design and complies with major hardware manufacturers. Pre-Calibration stage Pre-calibration can then be achieved while keeping costs down on a virtual test cell that simulates an environment in which the ECU and the real system are integrated: to validate the ECU strategy, the real prototype of the system is replaced by accurate models. Features Model-in-the-Loop simulation for early function specification • Virtual models for the control ( Simulink® ) and the piloted system ( LMS Imagine.Lab AMESim) • Co-simulation to couple the control model the system model • Physical representation of the system and its actuators • Several levels of modeling for appropriate accuracy • LMS Imagine.Lab AMESim– Simulink® interface Software-in-the-Loop for more accurate validation of control strategies • Plant model including CAN or FlexRay protocol • Use of the generated C code for the control or a Simulink model • Export of the LMS Imagine.Lab AMESim models within Simulink® ( SiL within Simulink® ) • Import of the C code or a Simulink® model with LMS Imagine.Lab AMESim ( SiL within LMS Imagine.Lab AMESim) Hardware-in-the-Loop for testing and validation on physical devices • Generation of mean value models from high-frequency models • Link with Simulink® and RTW® • Methodologies to ensure the link with model used for system design • Compatibility with major hardware manufacturers: dSPACE® , ETAS® , RT-LAB® , xPC Target® , National Instrument® , etc. Calibration for final testing in usage context in a global virtual system • Simulation of the whole system with accurate models • Optimization of the test program and reduction of the number of tests • Definition and optimization of the coming testing program Benefits • Representative “ plant” models usable by both the design and control team • Always a good compromise between accuracy and execution time • Continuity in design process: MiL, SiL, HiL, Pre-Calibration • Significant reduction of the risk of project delay and cost explosion thanks to the integration enabled at a much earlier stage in the development cycle • Increased productivity and shortened time-to-market of new products • Mix of multi-disciplinary system design inside the real-time loop: jump from off-line to on-line design. Software engineering memiliki misi menyediakan quality engineering software untuk para engineer sehingga mereka dapat lebih produktif dalam pekerjaannya. Kami juga membuatkan aplikasi software engineering yang customized / khusus , dengan harga yang bersaing. Contact us: 0815 614 1954, 0811 891 101, 0817921 7081