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Simcenter Amesim libraries are written in C language, Python and also support Modelica, [1] which is a non-proprietary, object-oriented, equation based language to model complex physical systems containing, e.g., mechanical, electrical, electronic, hydraulic, thermal, control, electric power or process-oriented subcomponents.
A comparison with a PSIM & SPICE model of the same device showed similar resulting waveforms with a comparable simulation speed given identical operating conditions. [13] PowerSim recently partnered with CoolCAD Electronics to add CoolSPICE , a SPICE based integrated circuit modeling and design tool, as a bundle option for the PSIM software ...
Systems with a faster dynamics can also be simulated, like a vehicle in a driving simulator. [19] Another example of SLS use is to couple the system-level simulation to a CFD simulation. The system-level model provides the boundary conditions of the fluid domain in the CFD model. [20]
General Electric's MAPS (Multi-Area Production Simulation) is a production simulation model used by various Regional Transmission Organizations and Independent System Operators in the United States to plan for the economic impact of proposed electric transmission and generation facilities in FERC-regulated electric wholesale markets.
Hardware-in-the-loop (HIL) simulation, also known by various acronyms such as HiL, HITL, and HWIL, is a technique that is used in the development and testing of complex real-time embedded systems. HIL simulation provides an effective testing platform by adding the complexity of the process-actuator system, known as a plant , to the test platform.
Another type of simulation used mainly for power electronics represent piecewise linear [6] algorithms. These algorithms use an analog (linear) simulation until a power electronic switch changes its state. At this time a new analog model is calculated to be used for the next simulation period.
Dymola processes the complete system of equations in order to generate efficient simulation code. Domain-specific knowledge is represented by Modelica libraries, containing components for mechanical, electrical, control, thermal, pneumatic, hydraulic, power train, thermodynamics, vehicle dynamics, air conditioning, etc.
With system identification, the plant model is identified by acquiring and processing raw data from a real-world system and choosing a mathematical algorithm with which to identify a mathematical model. Various kinds of analysis and simulations can be performed using the identified model before it is used to design a model-based controller.