QLabs Virtual Aero 2
Virtual platform for distance and blended undergraduate aerospace and controls courses
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.
Learn More- 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
ABET-aligned Instructor and Student Workbooks with complete lab exercises, covering topics:
Laboratory Guides with modeling and control design examples:
- 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
- 2 DOF helicopter configuration
- Modeling
- Linear state-space representation
- State-feedback control
- Coupled dynamics
- Half-quadrotor configuration
- Modeling
- Simple yaw control
- Kalman filter
Product Details
| 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 |
