The GOcontroll Moduline series offers a powerful educational prototyping platform for teaching and experimenting with control, embedded, and IoT systems.

Learning control and embedded systems is easier when students can see, build, and test real hardware. GOcontroll’s modular controllers provide exactly that. Designed for maximum flexibility, the controllers can be used as an educational prototyping platform where students can explore automation, data acquisition, and connectivity — all in one device.

Instead of using multiple boards for different subjects, universities can use one GOcontroll setup across courses and departments, from electrical and mechanical engineering to mechatronics and IoT.

Modern engineering labs need flexible hardware that can adapt to many projects. The GOcontroll Moduline series is modular, so each controller can be configured for different student experiments.

In one lab session, students might:

• Design a PID control system for motor speed.

• Create a temperature control loop with sensors and actuators.

• Test communication between CAN, Ethernet, and serial devices.

• Build a data-logging or IoT monitoring application.

Because all modules are plug-and-play, instructors can quickly reconfigure setups for each course. This saves both time and cost while keeping the hardware relevant year after year.

Many students struggle to link theory with real-world control systems. GOcontroll solves this using MATLAB Simulink integration, which allows students to design control algorithms graphically and deploy them directly to the controller.

The process is straightforward:

1. Create a model in Simulink using GOcontroll’s dedicated blockset.

2. Simulate the control loop on a PC.

3. Deploy the model to the controller in seconds.

4. Observe the real system’s behavior and compare it to simulation results.

This approach teaches students not only how to design systems, but also how to validate and tune them in real-time. It reinforces concepts in automatic control, embedded computing, and signal processing through hands-on experience.

Besides control systems, GOcontroll supports Node-RED, a flow-based programming tool widely used in IoT and automation. Students can build dashboards, visualize sensor data, and create networked applications without coding from scratch.

In a few steps, they can:

• Connect sensors and devices through MQTT, HTTP, or Modbus.

• Visualize real-time data on web dashboards.

• Send alerts or control signals to remote systems.

Because Node-RED runs directly on the controller, projects are both educational and realistic — mimicking industrial automation setups or smart city devices.

What makes this educational prototyping platform unique is its reusability. The same controller can support projects in different fields:

• Electrical engineering: signal processing, communication protocols, power control.

• Mechanical engineering: motion control, sensor feedback, system dynamics.

• Mechatronics: full system integration of mechanics, electronics, and software.

• Computer science: embedded programming, networking, and data visualization.

This cross-disciplinary use means universities can invest once and use the same equipment across multiple years and programs.

Unlike custom-built training rigs, GOcontroll modules are ready to use out of the box. The modular design allows staff to swap or add I/O modules without reprogramming. The Linux-based system ensures compatibility with common development tools, and the robust enclosures withstand years of classroom use.

Remote management tools like GOcontroll Connected let educators update firmware, upload lab exercises, or monitor student progress without touching each device. This saves valuable teaching time and keeps lab sessions efficient.

With GOcontroll, students don’t just follow instructions — they experiment, fail, and learn how to make real systems work. The combination of Simulink modeling, Node-RED visualization, and modular hardware makes it the perfect educational prototyping platform for modern engineering education.

It bridges the gap between theory and practice, helping future engineers gain the confidence to design, test, and innovate — skills that last long after graduation.