QLabs Controls is a collection of virtual laboratory activities that supplement traditional or online control systems courses. The virtual hardware labs are based on Quanser QUBE-Servo 2 and Quanser AERO systems which allows you to combine physical and virtual plants to enrich lectures and in-lab activities and increases engagement and students’ learning outcomes in class-based or online courses.

  • Credible, academically appropriate experiences
  • High-fidelity, interactive virtual lab experimentation
  • Available on Windows, macOS, iOS, and Android
  • Comprehensive curriculum including “check your understanding” and full assessment questions and lab reporting
  • Instructor resources and tools to manage access and monitor students’progress
  • Flexible 12-month subscription
  • No IT infrastructure or resources required

QUBE-Servo 2 Modules

DC Motor

  • Modelling:
    – Experimental DC motor modelling
    – First principles models vs real hardware
    – Significance of the time constant and gain in a TF
    – Non-linear behaviour in a DC motor
  • Position Control:
    – Proportional position control
    – Derivative control
    – Theoretical and actual control implementation
  • Speed Control:
    – Proportional speed control
    – Steady state error
    – Magic of integral gains
    – Noise considerations
    – Low-pass filtering and control considerations
  • Lead Control:
    – Lead / lag compensator design
    – Bode plots
  • Stability Analysis:
    – Stable, marginally stable, and unstable systems
    – Stability analysis from poles
    – Bounded-Input Bounded-Output (BIBO) stability
  • Parameter Identification:
    – Experimental identification of motor parameters
    – Obtaining motor transfer function
    – Unmodeled dynamics
  • Steady-State Error:
    – Evaluating steady-state error due to step and ramp inputs
    – System types
    – Motor position control
    – Proportional integral derivative (PID) control


  • Moment of Inertia:
    – Finding the moment of inertia
  • Pendulum Modelling:
    – Modelling a rotary pendulum from first principles
    – Linearization
    – State-space modelling
  • Crane Control:
    – State-feedback control
    – Pole-placement
    – Control design for higher-order systems
  • Pendulum Balance Control:
    – Optimal control using linear quadratic regulator
    – Bryson’s rule

Quanser AERO Modules

  • Qualitative PID Control:
    – Qualitative PID tuning a simple aerospace system
  • Gain Scheduling:
    – Non-linear dynamics
    – Non-linear control
    – Gain scheduling
    – Integral wind-up
  • State-Feedback vs PID Control of a Helicopter:
    – PID control of a complex coupled aerospace system
    – State-space representation
    – State feedback control
  • Optimal Control of a Half-Quadcopter:
    – State-feedback control
    – LQR design
    – Bryson’s rule

Product Details

For increased number of seats, customized curriculum or analytics tools, or to discuss your eLearning and remote teaching needs, contact sales@quanser.com

App download & access to subscription management Quanser Academic Portal
App OS compatibility Microsoft Windows 10 or later
macOS Mojave 10.14.6
Android 5 or later – compatible with phones, tablets and supported Chromebooks
iOS 11.3 or later – compatible with iPhone, iPad, and iPod touch
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

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