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QLabs Virtual Coupled Tanks

Virtual platform for distance and blended undergraduate process control courses

Control Systems & Dynamics Industrial Applications & Process Control Software Virtual Experiments

QLabs Virtual Coupled Tanks is a fully instrumented, dynamically accurate digital twin of a Quanser Coupled Tanks 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 Coupled Tanks, you can enrich your lectures and activities in traditional labs, or bring credible, authentic model-based lab experiences into your distance and online process control course.

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


Product Details

Same as the physical Coupled Tanks, the virtual system features a single pump and two tanks. Each tank is instrumented with a pressure sensor to measure the liquid level. The different outflow valves configurations allow to direct the flow of the liquid, while the flow rate can be changed by using outflow orifices of different diameters.

  • 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®
  • Curriculum covering modelling and control topics
App download & access to subscription management Quanser Academic Portal
App OS compatibility Microsoft Windows 10 or later
Required software Curriculum designed for MATLAB and Simulink R2021a or later, with compatibility with Python 3
Minimum system requirements Video Card: Intel HD 520 or equivalent DX11 GPU
Processor: Core i5-6300U series mobile CPU or equivalent
Memory: 8 GB RAM
Recommended system requirements Video Card: Intel UHD 620 or equivalent GPU
Processor: Core i7-8665U series mobile CPU or equivalent
Memory: 16 GB RAM


  • First-principles modelling
  • Linearization
  • Pole placement
  • PID control
  • Feed-forward

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