QLabs Virtual QUBE-Servo 3

Quanser QLabs Qube Servo 3

Virtual platform for distance and blended undergraduate control systems course

QLabs Virtual QUBE-Servo 3 replicates the classic QUBE-Servo 3 system faithfully, presenting a fully instrumented, dynamically accurate virtual twin. It mimics the behavior of the physical hardware, allowing measurement and control via MATLAB®Simulink® and similar development environments. This virtual platform enhances traditional lab sessions and facilitates authentic model-based lab experiences for remote or online control systems courses.

Offered as a 12-month, multi-seat subscription, QLabs Virtual QUBE-Servo 3 aligns with the physical system's curriculum, covering a comprehensive range of over 30 concepts. These include modeling, parameter identification, position and speed control, lead control, stability analysis, steady-state error, moment of inertia, pendulum modeling, crane control, and pendulum balance control.

Similar to its physical counterpart, the virtual QUBE-Servo 3 integrates a DC motor alongside inertia disk and inverted pendulum modules. Rotary encoders accurately gauge the angular position of both the DC motor and pendulum, while software-based tachometers measure their respective angular velocities.

Key Features:

  • Provides high-fidelity lab experiences akin to physical lab equipment use
  • Available as a 12-month, multi-seat subscription
  • Grants full access to system parameters through MATLAB®/Simulink®
  • Offers a comprehensive ABET-aligned curriculum mapped to popular control engineering textbooks

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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