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QLabs Virtual QUBE-Servo 2

Virtual platform for distance and blended undergraduate control systems courses

Software Virtual Experiments

QLabs Virtual QUBE-Servo 2 is a fully instrumented, dynamically accurate virtual twin of a classic QUBE-Servo 2 system. It behaves in the same way as the physical hardware and can be measured and controlled using MATLAB®/Simulink® and other development environments. QLabs Virtual QUBE-Servo 2 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 QUBE-Servo 2 is available as a 12-month, multi-seat subscription. The platform is compatible with the physical QUBE-Servo 2 curriculum which covers over 30 concepts including modelling, parameter identification, position, and speed control, lead control, stability analysis, steady-state error, moment of inertia, pendulum modelling, crane control, and pendulum balance control.


Product Details

Same as the physical QUBE-Servo 2, the virtual system features a DC motor with the inertia disk and inverted pendulum modules. Rotary encoders measure the angular position of the DC motor and pendulum. The motor angular velocity is measured through a software-based tachometer.

  • 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®
  • Comprehensive ABET-aligned curriculum mapped to popular control engineering textbooks
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


DC Motor (Inertia Disk) Module

  • Hardware integration
  • Filtering
  • Step response modeling
  • Block diagram modeling
  • Parameter estimation
  • Frequency response modeling
  • State-space modeling
  • Friction identification
  • Stability analysis
  • Second-order systems
  • Routh-Hurwitz stability
  • Nyquist stability
  • PD control
  • Lead Compensator
  • Proportional control
  • Steady-state error
  • Load disturbance
  • Robustness
  • Optimal control
  • Introduction to digital control
  • Discrete stability
  • Introduction to discrete control

Pendulum Module

  • Moment of inertia
  • Pendulum modeling
  • State-space modeling
  • Pendulum balance control
  • Swing-up control
  • LQR state-feedback balance control
  • Pole-placement state-feedback balance control

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