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QLabs Virtual Quanser AERO

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Software Virtual Experiments

Please visit QLabs Virtual Aero 2. 

QLabs Virtual Quanser AERO is a fully instrumented, dynamically accurate virtual twin of a Quanser AERO 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 Quanser AERO can enrich your lectures and activities in traditional labs, or bring credible, authentic model-based lab experiences into your distance and blended aerospace and control systems course.

QLabs Virtual Quanser AERO is available as a 12-month multi-seat subscription. The platform is compatible with the physical Quanser AERO curriculum which covers concepts including modelling, system identification, attitude and speed control, PID control, gain scheduling, state-feedback control, coupled dynamics, and Kalman filter.


Product Details

Same as the physical Quanser AERO, the virtual system is a dual-rotor helicopter model that can be reconfigured for 1 DOF attitude, 2 DOF helicopter, or half-quadrotor experiments. Rotary encoders measure the angular position of the propeller DC motors, the speed of the motors 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 curriculum for 1 DOF attitude, 2 DOF helicopter, and half-quadrotor configurations
App download & access to subscription management Quanser Academic Portal
App OS compatibility Microsoft Windows 10 64-bit
Required software MATLAB and Simulink R2020a or later (not included)
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


ABET-aligned Instructor and Student Workbooks with complete lab exercises, covering topics:

  • Hardware integration
  • Single propeller speed control
  • Pole-placement state-feedback balance control
  • 1 DOF attitude control configuration
    • PID control
    • Iintroduction to IMU
    • Modeling and model validation using transfer function
    • System identification
    • Gain scheduling

Laboratory Guides with modeling and control design examples:

  • 2 DOF helicopter configuration
    • Modeling
    • Linear state-space representation
    • State-feedback control
    • Coupled dynamics
  • Half-quadrotor configuration
    • Modeling
    • Simple yaw control
    • Kalman filter

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