RT-LAB Solo

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  Fully integrated with MATLAB/Simulink, and MATRIXx/SystemBuild

All model preparation for RT-LAB is done with established dynamic system modeling environments, which allows the user to leverage experience in using these tools.

     Specialized blockset for communication and signal I/O

  Fully integrated with third-party modeling environments and user code libraries

RT-LAB supports models from StateFlow, StateMate, CarSim RT, GT-Power RT, AMESim, Dymola, as well as legacy code in C, C++ and FORTRAN.

  Comprehensive API for developing your own on-line application.

Using environments such as LabVIEW, C, C++, Visual Basic, TestStand, Python and 3D virtual reality tools it is possible to create custom user and test automation interfaces.

  Off-the-shelf technologies

RT-LAB is the first fully scalable simulation and control package that allows you to separate models for execution in parallel on a network of standard desktop PCs, PC/104s or on SMP (symmetric multi-processor) servers.
Driven by the demands of a mass market, users take advantage of rapid advancements in a wide range of readily available technologies, as well as relatively low costs. RT-LAB uses standard Ethernet and FireWire (IEEE 1394) communications, and an extensive range of ISA, PCI, PXI and PCMCIA analog and digital I/O boards.

  Integrated interface for signal and parameter visualization and control

With RT-LAB's visualization and control panel, you can dynamically select signals to trace, modify any model signal or parameter in real-time.

  Extensive I/O card support - over 100 devices supported

RT-LAB integrates with Opal-RT's OP5000 hardware interface devices for nanosecond precision timing and real-time performance. RT-LAB also supports cards from other leading manufacturers such as National Instruments, Acromag, Softing and SBS.

     Real-time OS: QNX

  Optimized Hard-Real-Time Scheduler – high performance, low jitter

Within a time step, the system is doing more than computing the dynamic model. It also does administrative tasks, such as reading and writing I/O, updating the system clock, scheduling tasks, logging data, and handling communications. This restricts the amount of time available within a frame to compute the model values limiting the size of model that can be computed on a single processor. RT-LAB has reduced this overhead to a few percent of raw hardware performance without losing functionality, thereby increasing the capacity to compute more complex models.

     Software and hardware synchronized modes