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Collection of videos, reference examples, and more to support your real-time simulation and testing workflows

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Timing and Synchronization

Timing and Synchronization

Connect distributed systems with multiple nodes and create deterministic real-time applications with Speedgoat timing and synchronization solutions.

 

How To

Update Target Operating System to R2020b and Later

Update Target Operating System to R2020b and Later

Simulink Real-Time R2020b and later releases ship with a QNX-based 64-bit real-time operating system (RTOS). Learn how to update the software of your existing Speedgoat real-time target machine running on R2020a or earlier.

How To

Part 1: System Configuration of Host PC (R2020b and later)

Part 1: System Configuration of Host PC (R2020b and later)

Learn how to set up the host computer for smooth operation, test the host-target communication and troubleshoot basic installation issues.

How To

Part 2: Configuration of Target Machine (R2020b and later)

Part 2: Configuration of Target Machine (R2020b and later)

Understand the operating principles of real-time target machines, learn how to configure your target machine and create and transfer a Simulink Real-Time™ kernel.

How To

Part 3: Running Real-Time Applications (R2020b and later)

Part 3: Running Real-Time Applications (R2020b and later)

Understand the main principles of real-time simulation. Configure and prepare Simulink® models for real-time execution. Deploy Simulink® models as real-time applications onto Speedgoat target machines.

How To

Part 4: Data Logging (R2020b and later)

Part 4: Data Logging (R2020b and later)

Monitor, visualize, and log signals using the Simulation Data. Inspector (SDI) on the development computer. Write data to the disk of the target machine using “File Scope” blocks.

How To

Part 5: Control and Instrumentation (R2020b and later)

Part 5: Control and Instrumentation (R2020b and later)

Learn how to use a Simulink® model as a direct user interface to the real-time application. Tune parameters using MATLAB command lines to control the execution of the real-time application. Create custom user interfaces using MATLAB App Designer.

How To

How to Configure a Speedgoat Test System for Simulink Real-Time

How to Configure a Speedgoat Test System for Simulink Real-Time

Configuring your Speedgoat machine for Simulink Real-Time: A Step-by-Step Guide

How To

Designing a Generic, Software-Defined Multimode Radar Simulator For FPGAs Using Simulink HDL Coder and Speedgoat Real-Time Hardware

Designing a Generic, Software-Defined Multimode Radar Simulator For FPGAs Using Simulink HDL Coder and Speedgoat Real-Time Hardware

This publication focuses on the implementation and testing of a fully-parameterized radar signal processing prototype. A Speedgoat Performance machine with two Simulink-Programmable FPGA I/O modules IO342 are used for the implementation of a radar signal processing design containing several common waveforms and tunable parameters and a radar scene generator for delay, doppler, and amplitude measurement.This setup helped increase the simulation fidelity while reducing the time to test.

Published Papers

Design, Simulation and Hardware-in-the-Loop (HIL) Testing of an Electric Scooter Powertrain

Design, Simulation and Hardware-in-the-Loop (HIL) Testing of an Electric Scooter Powertrain

This publication focuses on an algorithm to control a brushless DC motor. A Speedgoat performance machine runs a digital twin of the motor on both the CPU and the FPGA-based I/O module IO334 and is connected via the analog channels to the controller, an MCU by Texas Instruments. With this HIL setup, the performance of the control algorithm was tested. 

Published Papers

Hardware-in-the-Loop

Certification Process for a Hybrid Electric Aircraft

Certification Process for a Hybrid Electric Aircraft

The scientific aviation association (FVA) is developing the FVA 30, a hybrid electric motor glider, to research alternative propulsion systems. This article focuses on the certification process of the FVA 30 power train, using a Speedgoat target computer.

Hardware-in-the-Loop

Published Papers

Battery Management System Integration into an Electronic Control Module for a Hybrid Electric Aircraft

Battery Management System Integration into an Electronic Control Module for a Hybrid Electric Aircraft

Th­is article focuses on BMS integration into the electronic control module (ECM) of the FVA 30 hybrid electric motor glider using a Speedgoat real-time target machine. The challenge is to design an ECM for reliable data processing, allowing pilots to monitor and control the drivetrain.

Published Papers

Rapid Control Prototyping

Assessment of State-of-Charge Estimation Method for Lithium-Ion Batteries

Assessment of State-of-Charge Estimation Method for Lithium-Ion Batteries

In this paper, a numerical model of lithium-ion batteries is developed and deployed to a Speedgoat Baseline target machine. The estimation method for the state-of-charge (SOC), based on a nonlinear autoregressive with exogenous input (NARX) and artificial neural networks (ANNs) that are correctly trained with multiple datasets, is designed, and experimentally validated by hardware-in-the-loop simulation.

Publication on mdpi.com

Published Papers

Hardware-in-the-Loop Testing (HIL) of State-of-Charge (SoC) Estimation for Li-Ion Batteries

Hardware-in-the-Loop Testing (HIL) of State-of-Charge (SoC) Estimation for Li-Ion Batteries

This study presents the design and validation of an SoC estimation method for lithium-ion batteries in hybrid-electric vehicles (HEV). The battery model is deployed on a Speedgoat Baseline machine connected to a Raspberry Pi emulating the ECU based on an artificial neural network for HIL testing. The algorithm can estimate the SoC of the battery with 2% accuracy during real-time testing.

Published Papers

Hardware-in-the-Loop

Vorticity Dynamics of Leading-Edge Vortex Formation on a Revolving Wing

Vorticity Dynamics of Leading-Edge Vortex Formation on a Revolving Wing

A leading-edge vortex (LEV) forms and remains stably attached on high angle-of-attack (AoA), low aspect ratio (AR) wings undergoing revolving or flapping motion at an insect’s wing. Here, the LEV formation on a revolving wing is investigated. The 'Shake-the-box' (STB) Lagrangian particle tracking velocimetry (PTV) system and a volumetric patching process helped reconstruct the entire time-resolved flow field.

Publication on springer.com

Published Papers

Part 1: System Configuration of Host PC (R2020a and earlier)

Part 1: System Configuration of Host PC (R2020a and earlier)

Learn how to set up the host computer for smooth operation, test the host-target communication and troubleshoot basic installation issues.

How To

Part 2: Configuration of Target Machine (R2020a and earlier)

Part 2: Configuration of Target Machine (R2020a and earlier)

Understand the operating principles of real-time target machines, learn how to configure your target machine and create and transfer a Simulink Real-Time™ kernel.

How To

Part 3: Running Real-Time Applications (R2020a and earlier)

Part 3: Running Real-Time Applications (R2020a and earlier)

Video tutorial series part 3: Understand the main principles of real-time simulation. Configure and prepare Simulink® models for real-time execution. Deploy Simulink® models as real-time applications onto Speedgoat target machines.

How To

Part 4: Data Logging (R2020a and earlier)

Part 4: Data Logging (R2020a and earlier)

Monitor, visualize, and log signals using the Simulation Data. Inspector (SDI) on the development computer. Write data to the disk of the target machine using “File Scope” blocks.

How To

Part 5: Control and Instrumentation (R2020a and earlier)

Part 5: Control and Instrumentation (R2020a and earlier)

Learn how to use a Simulink® model as a direct user interface to the real-time application. Tune parameters using MATLAB command lines to control the execution of the real-time application. Create custom user interfaces using MATLAB App Designer.

How To

Independent Generation of Sequence Elements by Motor Cortex

Independent Generation of Sequence Elements by Motor Cortex

Rapid execution of motor sequences depends on fusing movement elements into cohesive units that are executed holistically. The contribution of the primary motor and dorsal premotor cortex to this ability is determined in this paper. Also, the hypothesis that movement elements fuse makes specific predictions regarding three forms of activity, preparation, initiation, and execution is investigated.

Publication on nature.com

Published Papers

A Self-Tuning Robust Control System for Nonlinear Simulation

A Self-Tuning Robust Control System for Nonlinear Simulation

A transfer system is used to enforce the interface interaction between computational and physical substructures in a real-time hybrid simulation. A model-based, multilayer nonlinear control system is developed to accommodate extensive performance variations and uncertainties in a physical substructure. This work aims to extend the application of real-time simulation to investigating failure, nonlinearity, and nonstationary behavior. 

Publication on wiley.com

Published Papers

Leading-Edge Vortex and Transient Lift on a Revolving Wing at Low Reynolds Numbers

Leading-Edge Vortex and Transient Lift on a Revolving Wing at Low Reynolds Numbers

The transient formation and the stable attachment of the leading-edge vortex (LEV) contribute to the high lift generation of an insect wing when it revolves at high angles of attack. This study examined the leading-edge vortex (LEV) formation and the transient lift generation on a revolving wing, using combined computational and experimental methods.

Publication on sciencedirect.com

Published Papers

Modeling and Analysis of Medium Frequency Transformers for Power Converters

Modeling and Analysis of Medium Frequency Transformers for Power Converters

A mathematical model of a 3-phase medium frequency transformer (MFT) in an isolated DC-DC power converter, suitable for electromagnetic transient and steady-state simulation is developed. The transformer modeling methods are reviewed, and the Lagrange energy method is used to derive a physically motivated model for circuit analysis.

Publication on edu.pl

Published Papers

Verification of a Geographically Distributed Real-Time Hybrid Simulation Platform

Verification of a Geographically Distributed Real-Time Hybrid Simulation Platform

This study presents a distributed real-time hybrid simulation (dRTHS) platform that enables the integration of geographically distributed physical and numerical components across the Internet. A series of numerical and experimental studies is evaluated, and it is demonstrated that dRTHS is feasible for coupling laboratory capabilities and is a viable alternative to traditional testing techniques.

Publication on wiley.com

Published Papers

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