Quarc Library — Simulink
For applications involving a high-speed control loop and a separate graphical user interface (GUI), run two distinct QUARC models. Connect them using the Shared Memory protocol in the Communications library to isolate critical control code from UI rendering delays. Conclusion
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later.
The QUARC library for Simulink is a powerful and versatile tool for anyone looking to move control algorithms from the theoretical realm to physical implementation. Its comprehensive block library, robust real-time performance, and unmatched integration with the Simulink environment make it an ideal choice for both educational labs and advanced research projects. By abstracting away the complexities of real-time programming, QUARC allows engineers and students to focus on what truly matters: designing better control systems.
What (e.g., Quanser Q8-USB, NI, Raspberry Pi) are you targetting?
The QUARC library introduces several unique blocksets designed for high-performance control and communication: Hardware-in-the-Loop (HIL) Blocks quarc library simulink
Connect the output of your controller to a block to send control signals to the motor or actuator. Step 3: Configure Target Settings Open the Simulink Configuration Parameters ( Ctrl+E ). Navigate to the Code Generation tab.
Accelerating advanced robotics, aerospace, and mechatronics research by lowering the barrier to hardware implementation.
The , developed by Quanser, bridges this gap. It turns MATLAB and Simulink into a powerful, real-time rapid control prototyping (RCP) and hardware-in-the-loop (HIL) testing environment. What is the QUARC Library?
The recommended troubleshooting step is to run the quarc_setup.m script, found in the QUARC installation folder, and restart MATLAB. QUARC maintains a compatibility table detailing its support for different MATLAB, Simulink, and Windows versions. Currently, QUARC 2026 supports MATLAB releases up to R2026a and Windows 10 or 11, using Microsoft Visual Studio 2022/2019 as the compiler. For applications involving a high-speed control loop and
In the world of real-time control system design, few tools offer the seamless transition from simulation to physical hardware implementation quite like the QUARC library for Simulink. Developed by Quanser, QUARC (Quanser Real-Time Control) represents a paradigm shift in how engineers, researchers, and educators approach rapid control prototyping and hardware-in-the-loop (HIL) testing. This article provides a comprehensive guide to understanding, installing, and effectively utilizing the QUARC library within the MATLAB/Simulink environment.
Connects Simulink directly to data acquisition (DAQ) boards, sensors, and actuators.
Double-click the block and select your specific board type from the dropdown menu.
Drag the HIL Initialize block into your model. Replace your simulated plant with HIL Read (for sensors) and HIL Write (for actuators) blocks. This link or copies made by others cannot be deleted
: Integrated into Quanser lab workstations to teach linear systems, rotary motion, and mechatronics.
– Provide support for graphical user interfaces, including integration with GUIs developed using Altia Design, as well as printing to and reading from the QUARC Console.
High-performance blocks used to sample inputs (analog, digital, encoder, gyroscope) and drive outputs (analog motor commands, digital relays, PWM signals) in a single, synchronized step.
QUARC blocks drag-and-drop into Simulink like native blocks. No separate coding environment—just add I/O blocks, set sample time, and hit "Run" to execute in real time.