Qube-Servo 3

The quickest path to practical controls

Control Systems & Dynamics Robotics & Mechatronics Electromechanical Control Manipulator Robotics Mechatronics

The Qube Servo 3 is the fastest and most efficient way to bring modern, hands-on learning experiences into your Control Systems course. The system is equipped with a high-quality direct-drive brushed DC motor, two encoders, an internal data acquisition system, and an amplifier. Connect with USB to a Windows PC using MATLAB Simulink or Python.

Qube Servo 3 is a part of the Control Systems & Dynamics Lab Collection – Introduction to Controls Teaching Lab.

Request a Quote
Request Information

Gallery

Documents

Info Sheet

Qube-Servo 3 comes with a quick-connect inertia disk and an inverted pendulum module. You can also design and 3D print your own module to expand the scope of the experiment or create an engaging student project. Take advantage of the comprehensive ABET-aligned course material for MATLAB® Simulink®, or design and validate your own controllers. With additional language support in Python and C/C++, new features include the ability to disable deadband compensation to directly model and control the DC motor.

Safe: Built-in motor stall and thermal protection
Comprehensive Courseware: ABET-aligned courseware mapped to popular control engineering textbooks
Options: Inertia disk and pendulum attachment included

Interface	USB
Dimensions (W x H x D)	10.2 cm x 10.2 cm x 11.7 cm
Weight	1..083 kg
Pendulum length (pivot to tip)	9.5 cm
DC motor encoder resolution (quadrature mode)	2,048 counts/revolution
Pendulum module encoder resolution (quadrature mode)	2,048 counts/revolution
DC motor nominal voltage	24 V
DC motor nominal current (no load)	0.016 A
DC motor nominal speed (no load)	5400 RPM
Current sense	12-bit, with 16 sample PWM synchronized digital filtering
Encoder	2 x 24-bit
Digital tachometer	2 x 32-bit with 13.8ns resolution

Textbook Mapping

Click here to view our comprehensive mapping tool which allows you to align courseware sections with specific chapters of the Experience Controls textbook app, as well as the most popular engineering textbooks such as:

Control Systems Engineering – N.S. Wise
Feedback Systems – K.J. Astrom & R.M. Murray
Feedback Control of Dynamic Systems – G.F. Franklin, J.D. Powell & A. Emami-Naeini
Modern Control Systems – R.C. Dorf & R.H. Bishop
Modern Control Engineering – K. Ogata
Automatic Control Systems – F. Golnaraghi & B.C. Kuo
Control Systems Engineering – I.J. Nagrath & M. Gopal
Mechatronics – W. Bolton

Courseware Topics

Inertia Disk Module	Pendulum Module
Hardware integration	Moment of inertia
Filtering	Pendulum modeling
Step response modeling	State-space modeling
Block diagram modeling	Pendulum balance control
Parameter estimation	Swing-up control
Frequency response modeling	LQR state-feedback balance control
State-space modeling	Pole-placement state-feedback balance control
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 discrete control
Discrete control design
Discrete control stability