QLabs Virtual Ball and Beam

Part No. QLabs Virtual Ball and Beam

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QLabs Virtual Ball and Beam is a digital twin platform for control systems education, enabling realistic unstable control experiments with MATLAB/Simulink.

QLabs Virtual Ball and Beam
Virtual platform for distance and blended undergraduate control systems courses

QLabs Virtual Ball and Beam is a fully instrumented, dynamically accurate digital twin of the Quanser Ball and Beam system. It behaves in the same way as the physical hardware and can be measured and controlled using MATLAB®/Simulink® and other development environments. With QLabs Virtual Ball and Beam, you can enrich your lectures and activities in traditional labs, or bring credible, authentic model-based lab experiences into your distance and online control systems course.

QLabs Virtual Ball and Beam is available as a 12-month, multi-seat subscription. The platform is compatible with the physical Ball and Beam curriculum, which covers various modelling and control topics.

Same as the physical Ball and Beam, the virtual system features a track on which a ball is free to roll. The track is effectively a potentiometer, outputting a voltage proportional to the position of the ball. The tilt angle of the track is controlled by the Rotary Servo’s DC motor.

Specifications
App Download & Access to Subscription Quanser Academic Portal
App OS Compatibility Microsoft Windows 10 or Later
Required Software Curriculum designed for MATLAB and Simulink R2021a or later, with Python 3 compatibility
Minimum Specifications • Intel Core Ultra 5, Intel Core i5, Ryzen 5
• 8GB RAM
• Intel UHD, or Iris Xe integrated GPU
Recommended Specifications • Intel Core Ultra 7, Intel Core i7, Ryzen 7
• 16GB RAM
• Intel Iris Xe or Arc integrated GPU

• High-fidelity, credible lab experiences equivalent to use of physical lab equipment
• 12-month, multi-seat subscription
• Full access to system parameters through MATLAB®/Simulink®
• ABET-aligned curriculum

Modeling Topics
• First-principles derivation
• Transfer function representation
• Linearization
• Model validation

Control Topics
• Multiple loops
• PID
• Root locus

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