Knowledge Center

Electric Motor Control Reference Application

Design, prototype, and test your brushless DC motor controls using Simulink and Speedgoat hardware

Simscape Vehicle Templates

Run custom Simscape Vehicle Models in Real-Time

Real-Time Driver-in-the-Loop Reference Application

Learn how to create and run real-time virtual vehicles and Driver-in-the-Loop simulators to safely test and validate your new designs.

Lane Detection on FPGA Reference Application

Learn how to perform hardware-accelerated vision processing for driver assistance and automated driving systems by implementing real-time lane detection.

Real-Time Lane Keeping Assist

Prove and test your model predictive lane following controller using real-time virtual vehicle simulation with raw synthetic camera data.

Real-Time Simulation and Control of High-Performance All-Electric Autonomous Racing Cars

Discover the full autonomous software stack from Technical University of Munich’s Roborace team. Designed with Simulink and ready to run on Speedgoat.

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.

Hardware-in-the-Loop Testing of Control Algorithms for Modular Multi-Level Converters

Learn how to Test Embedded Controllers for Complex Modular Multi-Level Converters

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. 

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.

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.

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

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.

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

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

FPGA-Based HIL Testing of Grid-Side Converters

Use an integrated workflow to test grid-side converters safely without requiring physical prototypes.

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

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

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

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

Power Hardware in-the-Loop Validation of DC-DC Power Converter

The paper describes the development of a power converter small-scale mock-up and a real-time model of an offshore wind farm. Power Hardware In-the-Loop (PHIL) validation is proposed for a demonstration of grid architecture and control principles. Results obtained with a test bench underline the importance of PHIL testing in the power converter development for DC grid applications.

Publication on ieeexplore.ieee.org

Experimental Validation of Model Predictive Control Applied to the Azura Wave Energy Converter

Ocean wave energy is a promising area of renewable energy development. However, there are unique operational challenges, particularly modeling, estimation, and control. This article presents a model-predictive control (MPC) formulation and its experimental testing applied to the 1/15th scale Azura wave energy converter developed by Northwest Energy Innovations (NWEI).

Publication on ieeexplore.ieee.org

Adaptive Model Predictive Control in All-Electric Ship Microgrids

Hybrid energy storage systems have been widely used in transportation, microgrid, and renewable energy applications to improve system efficiency and enhance reliability. However, parameter uncertainty can significantly affect system performance. An adaptive model predictive control is developed to address this issue. Both simulation and experiments are performed to show the effectiveness of the proposed adaptive model predictive control. 

Publication on sciencedirect.com

Motion Planning and Experimental Validation for an Autonomous Bicycle

This paper introduces a prototype autonomous two-wheeled vehicle developed for experimental verification of motion planning and control algorithms. Finally, it presents and discusses experiments run on the actual vehicle for a particular maneuver. It emphasizes the differences between the trajectories created by different vehicle models.

Publication on ieeexplore.ieee.org

Software Simulation Tool for Design of the Energy Management System in Elevators

This work shows the development of a software tool that provides realistic operation power profiles in elevators for residential and public buildings applications to accelerate Energy Management System prototyping. The simulator is validated and verified through computer simulations, through a HIL (Hardware-in-the- Loop) platform and is finally validated using a full-scale laboratory prototype.

Publication on ieeexplore.ieee.org