The Temperature and Speed Control Lab (TSC-Lab) is an application of feedback control with an ESP32, an LED, two heaters, two temperature sensors, one direct current motor and an optical encoder as a revolution per minute (rpm) meter. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor.

Instructions: 

The files must be downloaded and placed in the same folder so that they can be compiled in MATLAB, remember that these data were obtained in open loop for their respective identification of this system.

Temperature plant data:

  • In any data "dato.csv" the first column represents the temperature acquired by sensor 1, the second column the temperature acquired by sensor 2, third and fourth column represent the state of activation (1) or deactivation (0) of transistor 1 and 2, respectively.

DC motor speed plant data:

  • The motor speed control plant allows the engine RPM to be measured with the help of an optical echoder. The speed and direction of the motor is controlled through a motodriver.

Source code:

 

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The Temperature and Speed Control Lab (TSC-Lab) is an application of feedback control with an ESP32, an LED, two heaters, two temperature sensors, one direct current motor and an optical encoder as a revolution per minute (rpm) meter. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor.

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This dataset is a supplemental document fot the study '' Evolution of Controllers under a Generalized Structure Encoding/Decoding Scheme with Application to Magnetic Levitation System''.  

Detailed simulation and experiment results are included in the dataset, as well as the source code programmed  in Matlab.

Instructions: 

This file  'supplemental document. pdf' provides more detailed experimental results  and paramater sensitivity anlaysis  results.

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Supplementary Material for IEEE-TII Transaction Article "Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept"

Instructions: 

Adding additional training curves to the article. No instruction required since it is only of illustrative purpose.

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