Knowledge Center

Hardware-in-the-Loop (HIL) Testing of an Electric Motor Controller

This webinar demonstrates Hardware-in-the-Loop (HIL) testing of a controller for a 3-phase inverter and permanent magnetic synchronous motor (PMSM). Learn how to run a motor and inverter model in real-time using Simulink^® Real-Time™ and a Speedgoat Real-Time Target Machine. Learn how to configure your model for real-time testing, control your HIL application from within Simulink^®, create and manage test scenarios, verify and validate functional requirements, generate test reports, and automate your regression tests in the context of Continuous Integration.

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.

Using Simulink to Develop Grid-Tied Solar Inverter Controls

Learn how you can design, implement, and test the controller code for a 3-phase grid-tied solar inverter using Simulink^®.  Learn how you can develop a controller that can adhere to grid codes and maintain inverter grid connection during upset conditions.

FPGA-Based HIL Testing of Grid-Side Converters

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

Current Control and FPGA-Based Real-Time Simulation of Grid-Tied Inverters

Learn how to synthesize a controller for a grid-side converter using observer-based linear quadratic regulator (LQR) and how to perform hardware-in-the-loop testing of grid-tied inverter using Simulink^® and Speedgoat hardware.

Real-Time Simulation and Testing: Hardware-in-the-Loop

Hardware-in-the-Loop (HIL) Simulation and Testing with Simulink^® Real-Time™ and Speedgoat target computers.

Continental: Accelerated Development Using Rapid Control Prototyping

This project shows a solution whereby engineers can quickly move from SIL to HIL using a Speedgoat system with programmable FPGA technology instead of an original ECU. 

CPU, FPGA, and I/O Solutions for Real-Time Simulation and Testing with Simulink®

In this webinar, MathWorks^® together with Speedgoat will showcase how to perform real-time simulation and testing, enabling you to rapidly and continuously test and prove your designs, from desktop simulation to testing your designs in real time on hardware platforms.

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

Model-Based Design for Predictive Maintenance, Code Generation and Real-Time Testing

This video shows how to automatically generate C code from classification models. First, you’ll see how to validate your algorithm on the desktop. Then, once it is validated, the video will show how to generate code. Next, the video walks through how to use Simulink^® to deploy the classification model onto a B&R PLC, and then test it on a real-time representation of the system using a Speedgoat machine.

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

Model-based Controller Design for a Knuckle Boom Crane

This paper proposes a predictive anti-sway control (ASC) scheme at kinematic level for a knuckle boom crane. Model predictive control (MPC) allows to consider dynamic limitations imposed by the crane's structure during payload stabilization. Operability of the derived control scheme is demonstrated for an initial load-deflection using a robot-based test setup.

Publication on ieeexplore.ieee.org

Control of Delayed Bilateral Teleoperation System for Robotic Tele-Echography

This paper describes the development of a controller for a bilateral robotic system for tele-echography with delayed communications. The problems are solved using a novel approach to bilateral teleoperation control, based on a complete parameterization of feasible teleoperators. Experimental results show the potential of the proposed control method.

Publication on ieeexplore.ieee.org

A Balanced Hybrid Active-Passive Actuation Approach for High-Performance Haptics

This paper describes the design of a high-performance balanced hybrid haptic device. The actuation, design, and control approaches are described and experimentally validated. The results show significant improvements in the stability and rendering range of the device. 

Publication on ieeexplore.ieee.org

A Software Architecture for an Autonomous Racecar

The authors present a detailed description of the software architecture used in the autonomous Roborace vehicles by the TUM-Team. The architecture combines the autonomous software functions perception, planning, and control, which are modularized for use on different hardware and to drive the car on high-speed racetracks. 

Publication on ieeexplore.ieee.org

Robotic Glove with Integrated Sensing for Intuitive Grasping Assistance

This paper presents a fully integrated soft robotic glove with multi-articular textile actuators, custom soft sensors, and an intuitive detection controller. The state-machine-based controller uses signals from integrated sensors to detect relative changes in hand-object interactions.

Publication on ieeexplore.ieee.org

A Lightweight Force-Controllable Wearable Arm Based on Magnetorheological-Hydrostatic Actuators

This paper studies the feasibility of using magnetorheological (MR) clutches coupled to a low-friction hydrostatic transmission.  This combination provides a highly effective yet lightweight, force-controllable supernumerary robotic arm (SRL). Experimental studies conducted on a one-DOF test bench and validated analytically demonstrate a high force bandwidth (>25 Hz) and an excellent ability to control interaction forces even when interacting with an external impedance.

Publication on ieeexplore.ieee.org

Hardware-in-the-Loop (HIL) Testing of Battery Management System (BMS) using Simulink® Real-Time™ and Speedgoat target hardware

This webinar demonstrates how engineers can perform hardware-in-the-loop (HIL) testing to validate and test their Battery Management Systems design using Simulink^® Real-Time™ and Speedgoat Target hardware.

It showcases the modeling of a battery pack and battery management algorithms such as SOC estimation and cell balancing using Simulink^®. The webinar also shows how to perform HIL simulation by running the battery pack plant model in real time on Speedgoat test system, to find errors before deploying the actual hardware in the field