Arduino Lab for Dynamic Optimization

Main.ArduinoLab History

Hide minor edits - Show changes to markup

June 24, 2015, at 08:34 PM by 10.5.113.170 -
Deleted lines 32-33:
June 17, 2015, at 01:08 AM by 10.5.113.170 -
Added lines 37-40:

(:html:) <iframe width="560" height="315" src="//www.youtube.com/embed/sj-Ld-mxZoU?rel=0" frameborder="0" allowfullscreen></iframe> (:htmlend:)

June 17, 2015, at 12:17 AM by 10.5.113.170 -
Added lines 33-34:
June 16, 2015, at 11:56 PM by 10.10.150.0 -
Changed lines 16-17 from:
to:
Added lines 31-34:

Multiple Input, Multiple Output (MIMO)

May 11, 2015, at 01:31 PM by 45.56.3.184 -
Changed lines 32-36 from:

Additional Content

Simulate Energy Balance with MATLAB

to:

Energy Balance with MATLAB Simulation

May 08, 2015, at 06:17 PM by 10.5.113.160 -
Deleted line 4:

Featured in CACHE News, December 2014.

Added line 6:

Featured in CACHE News, December 2014.

May 08, 2015, at 06:16 PM by 10.5.113.160 -
Changed line 36 from:

Solve and Linearize an Energy Balance Model with MATLAB

to:

Simulate Energy Balance with MATLAB

May 08, 2015, at 03:17 PM by 10.5.113.160 -
Deleted lines 6-7:

Dynamic Optimization for an Arduino Temperature Regulator

May 08, 2015, at 03:14 PM by 10.5.113.160 -
Added lines 1-43:

(:title Arduino Lab for Dynamic Optimization:) (:keywords Arduino, Python, MATLAB, nonlinear control, model predictive control, moving horizon estimation, Kalman filter:) (:description Arduino estimation and control with sample files and instructions to build a bench-scale device for transistor based heated temperature regulation.:)

Featured in CACHE News, December 2014.

Dynamic Optimization for an Arduino Temperature Regulator

(:html:) <iframe width="560" height="315" src="//www.youtube.com/embed/nn2qgYykdy0?rel=0" frameborder="0" allowfullscreen></iframe> (:htmlend:)

This lab is an application of feedback control for a temperature control device. Complete instructions are available below in the temperature control lab description. The lab can be run on personal computers or on workstations in the UO Lab.

Students have an opportunity to use this lab to learn principles of system dynamics, estimation, and model predictive control. In particular, this lab reinforces:

  • The difference between manual and automatic control
  • Step tests to generate dynamic data for empirical modeling
  • Dynamic modeling with first principles
  • Tune a moving horizon estimator
  • Tune a model predictive controller
  • Dynamic data reconciliation

The three important elements for this lab are the measurement device (thermistor temperature sensor), an actuator (voltage to the transistor), and capability to perform computerized control (USB interface). At maximum output the transistor dissipates 3.1 W of power with a voltage of 8.9 V and current of 0.35 A. The heat generated by the transistor transfers by radiation, convection, and conduction to the temperature sensor.


Additional Content

Solve and Linearize an Energy Balance Model with MATLAB

(:html:) <iframe width="560" height="315" src="//www.youtube.com/embed/w9gwRFCbgNA" frameborder="0" allowfullscreen></iframe> (:htmlend:)