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QLabs Virtual Aero 2

Virtual platform for distance and blended undergraduate aerospace and controls courses

Control Systems & Dynamics Aerospace Control Electromechanical Control Software Virtual Experiments

QLabs Virtual Aero 2 is a fully instrumented, dynamically accurate virtual twin of an Aero 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 Aero 2 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 Aero 2 is available as a 12-month multi-seat subscription. The platform is compatible with the physical Aero 2 curriculum which covers concepts including modelling, system identification, attitude and speed control, PID control, gain scheduling, state-feedback control, coupled dynamics, and Kalman filtering. 


Product Details

As a twin of the physical Aero 2, the virtual system is a dual-rotor helicopter model that can be reconfigured for 1 DOF attitude, 2 DOF helicopter, or half-quadrotor experiments. Multiple rotary encoders measure the angular position of the propeller DC motors, and the pitch and yaw axes. An IMU compliments the sensor suite to offer a more realistic instrumentation and control scenarios.  

  • 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 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

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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