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Read about the latest news on real-time simulation and testing being used around the world in cutting-edge applications
FlexRay: Ensuring Deterministic and High Data Rate Transmissions

FlexRay: Ensuring Deterministic and High Data Rate Transmissions

The new IO623 FlexRay I/O module with up to four physical FlexRay controllers (A/B channel) ensures deterministic transmission with high data rates up to 10 Mbit/s per channel and high fault tolerance. 

The FIBEX configuration can be quickly loaded into a dedicated software tool that exports the configuration. The new Speedgoat I/O Blockset for FlexRay provides full access to the Simulink Real-Time, Simulink, and MATLAB ecosystem. 

Formula Student Team of UP Madrid wins Simulink Student Challenge using Speedgoat Solutions

Formula Student Team of UP Madrid wins Simulink Student Challenge using Speedgoat Solutions

Daniel Garcia and Otón Pen╠âuelas score 2nd in the 2020 Simulink Student Challenge with their approach of implementing a torque vectoring control strategy and developing a hardware-in-the-loop test bench running a digital twin of their race car using a Speedgoat Baseline real-time target machine.

Designing, Prototyping, and Testing Controls for Formula Student Racing Cars

Designing, Prototyping, and Testing Controls for Formula Student Racing Cars

Together with GreenTeam from Uni Stuttgart and AMZ Racing from ETH Zurich, we have presented at the Formula Student Symposium 2020. We have given participating teams an insight into model-based design workflows and approaches of controls development and testing using Speedgoat real-time target hardware.

Recorded Webinar Now Available: Testing and Virtual Commissioning of PLCs using Digital Twins

Recorded Webinar Now Available: Testing and Virtual Commissioning of PLCs using Digital Twins

Learn more about real-time testing workflows, including rapid control prototyping (RCP) and hardware-in-the-loop (HIL) testing, using Simulink Real-Time™ software and Speedgoat real-time computers. 

New Unit Real-Time Target Machine: Small but Powerful

New Unit Real-Time Target Machine: Small but Powerful

Looking for a small-scale controller or plant simulator, suitable for prototyping, testing and embedded integration, and which offers unparalleled Simulink® workflow integration?

The Unit real-time target machine features a quad core CPU, optional FPGA integration, and a host of Simulink-supported I/O options including: analog and digital I/O; PWM and encoder support; automotive protocols including CAN, CAN FD and SENT; industrial protocols like EtherCAT and PROFINET; SPI, I2C and Dshot protocols; serial I/O; and Ethernet including TCP/IP, real-time UDP and XCP.

CAN and CAN FD Support for Unit Real-Time Target Machine

CAN and CAN FD Support for Unit Real-Time Target Machine

The new IO691 I/O module further enriches the broad I/O support for the Unit and Baseline real-time target machines with two isolated CAN and CAN FD ports. The module also supports SAE J1939 and XCP for calibration and bypassing over CAN. Delivery includes Simulink CAN communication configuration blocks.

New MVB Communication Support for Train and Railway

New MVB Communication Support for Train and Railway

Next generation control concepts for rolling stock are increasingly leveraging model-based designs. The new IO619 I/O module with simultaneous access for up to 32 nodes ideally supports this transition through its seamless Simulink workflow integration.

McGill Formula Electric Interview

McGill Formula Electric Interview

We interviewed Erin O’Neill, Controls Lead at McGill Formula Electric about her studies, women in technology and North American Formula Student competitions. 

Interview with the Winning Team of the SpaceX Hyperloop Pod Competition

Interview with the Winning Team of the SpaceX Hyperloop Pod Competition

The Hyperloop challenge was started by SpaceX with the goal to revolutionize terrestrial transportation. We sponsored the Technical University of Munich (TUM) Hyperloop student team, which set a new speed record of 463km/h (288 mph) at the fourth SpaceX Hyperloop Pod Competition. Toni Jukic, the TUM Hyperloop team leader shared with us how they were able to achieve this.

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