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MentionSimulink integration USPs

  • Simulink model = Real-time application
    • Parametrization and simulation of real-time applications
      in the same software environment as modeling
    • Deployment is a button-click
  • Simulink as the only work environment
    • Interact with Speedgoat hardware through Simulink canvas
    • Instrumentation and data logging, all from Simulink
  • United development and support teams
    • Collaboration for 10+ years
    • MathWorks uses Speedgoat hardware for development
    • No version lags. Logically supporting latest release.

Simulink Real-Time Workflow

MathWorks software products are optimized to guarantee the best real-time performance, workflow integration and usability with Simulink Real-Time™ and Speedgoat target machines. The latest Simulink and Speedgoat technologies are first supported with this platform.

Speedgoat on the other hand doesn't only build and optimize its target machines for use with Simulink Real-Time, but also guarantees that each target machine is configured to meet your specific requirements, such as sample rate, I/O, and environmental.

Furthermore, every target machine comes with Simulink driver blocks or FPGA reference designs to configure all installed I/O and protocols functionality. Simulink test models are also provided.

Paired with long-term warranty, maintenance, training, and consulting services from MathWorks and Speedgoat, you benefit from a truly turn-key solution for your next generation projects.

Simulink Real-Time Workflow

Development computer

MATLAB, Simulink, MATLAB Coder, Simulink Coder, and Simulink Real-Time

Target computer

Multi-core CPU running Simulink Real-Time kernel, FPGAs, I/O and protocol interfaces

Physical system

Hardware under test with sensor and actuator interfaces

A typical real-time simulation and testing environment using Simulink Real-Time.

Leveraging a Model-based Design approach with Simulink and Speedgoat target machines enables you to run, monitor, and tune real-time applications following three powerful steps:

  1. Design your controls, vision, DSP, or plant model in Simulink, and drag and drop Speedgoat I/O driver blocks to your model
  2. Automatically build and download your real-time application from Simulink to the target machine using automatic C and HDL code generation
  3. Tune, monitor, and log signal parameters from within Simulink during real-time execution

Closed-loop controls using CPUs and FPGAs

Depending on your specific applications, it makes best sense to either run your algorithms designed with Simulink on a CPU using automatic C code generation with Simulink Coder™, or on an FPGA using automatic HDL code generation with HDL Coder™. See also the comparative table on the Speedgoat FPGA code modules overview page, and introduction page How to build, run, and test real-time applications with HDL Coder

As a general rule, closed-loop sample rates in the range of 1-20 kHz, in some cases even up to 100 kHz are typically well achievable by running algorithms on the CPU.

To achieve faster closed-loop sample rates, to pre-process fast analog and vision data, or in case your embedded platform is anyway an FPGA or ASIC, running algorithms on Speedgoat FPGA I/O modules using automatic HDL code generation with HDL Coder usually makes sense.


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