Simulink Real-Time

Simulink Toolstrip includes buttons to design, build, and control real-time applications.

Build Real-Time Applications

Move from desktop simulation to real-time testing with one-click, without leaving MATLAB and Simulink. Configure the model and build, run, and interact with the real-time application.

Four Speedgoat products shown.

Run Tests on Speedgoat Hardware

Speedgoat real-time systems are made for Simulink Real-Time. Drag and drop I/O blocks in your model. Supported communication interfaces include CAN, Modbus, ARINC, SPI, and more.

Detail of copper winding, stack, and shaft of a electric permanent magnet motor.

Test Power Electronics Controls

Use Speedgoat hardware as platform for control algorithm prototyping and HIL testing of power electronics, electric drives, and power systems. Perform Power hardware-in-the-loop (P-HIL) tests with high-voltage equipment.

App Designer shows Simulink Real-Time components that can be placed in the Design View.

Create and Deploy Desktop Apps

Design apps in MATLAB with App Designer to tune parameters and visualize signals from real-time applications. Deploy your apps with MATLAB Compiler.

Create, Manage, and Execute Automated Tests

Execute automated tests with Simulink Test, or use ASAM XIL standard for third-party frameworks. Integrate RCP and HIL tests for CI/CD workflows on Windows and Linux servers.

Simulink model of a switched reluctance machine.

Real-Time Simulation of Physical Systems

Use Simscape to rapidly create models of physical systems for HIL simulation. Simscape Electrical, Powertrain Blockset, and Motor Control Blockset include preconfigured examples.

Bypassing ECU functions by connecting a real-time system.

ECU Bypassing

Bypass ECU functions by acquiring and simulating measurement values on the real ECU over CAN or UDP.

Using Simscape HDL Workflow Advisor and HDL Workflow Advisor to generate HDL code from Simscape Electrical models that run on Speedgoat FPGA hardware.

FPGA Hardware Acceleration

Achieve faster sample rates with FPGA technology and HDL Coder. Run Simscape Electrical non-linear models on Speedgoat FPGA for switching-level power electronics HIL simulations.

Illustration of a neural network.

Run Artificial Intelligence Models

Deploy deep learning, machine learning, and reinforcement learning models on real-time systems.

“With Simulink, Simscape, and HDL Coder, we can develop plant models and deploy them directly to an FPGA for HIL tests; it’s a no-nonsense, no-compromise way to simulate large-scale power electronics systems.”