SIMULATION THERMAL CONTROL PID MODELS

Published: 01-04-2019| Version 1 | DOI: 10.17632/g8srg5gwdx.1
Contributor:
Ittalo Pezzotti

Description

The data presented here describes the behavior and characteristics of a closed chamber thermal system, with the technical capabilities needed in applications such as incubation, cell culture, refrigeration, dehydration or dry air sterilization. The dataset was collected from a low cost designed apparatus, approaching real world applications by including ambient air infiltrations, pressure and heating losses in a plastic container. This data article includes furthermore plain text data from temperature and electrical current sensors, an image that illustrates the control model, schematics of electronic circuitry needed and a 3D representation of the actual device in PDF format. The raw data were measured in three different temperature ranges, using specific actuators for each stage, to be then simulated, analyzed or optimized using Matworks® software tools.

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Experimental Design, Materials, and Methods The method applied consists of a multiplatform system called (P). To this empty system (P), a series of applications called (A) will be added. The result of the combination of P and A will give a product that it will be called (CPx), where (x) is the application change. The fictitious product (CPx) is obtained in the medium called (M). In this way a container was selected for thermal applications in various applications such as dehydration, incubation, cell culture, refrigeration and sterilization of dry air. To obtain the physical model it was necessary to use a container with a known volume that would allow adding sensors and maintaining a treatment space (St) for the products to be treated. Then, an important consideration was the need of a low cost system and finally any person or group, with a minimum knowledge base, could build that. For the demonstration prototype, temperature sensors were added to the actuators and to the internal and external dry air volumes, humidity sensors, pressure and electrical current. The technique implemented is based on the digital data acquisition system, where the physical signal is acquired, converted to an electrical signal, filtered; the analog to digital conversion is carried out, and converted to text files. Three actuators were installed, which are necessary to cover the temperature ranges. This prevents an excessive use of energy, as follows: • Actuator (Ra) electrical heating element, connected at 220 VAC, that covers the temperature range from 60 ° C to 270 ° C. • Actuator (Rb) electrical heating element connected at 12 VDC, that covers the temperature range from 25 ° C to 60 ° C. • Actuator (Rc) Peltier module, connected at 12 VDC, that covers the temperature range from 25 ° C to -10 ° C. The Matworks® software tools used were Simulink, Sisotools, Stateflow and Matlab to check the mathematical model, the transfer function and the PID control algorithm. Furthermore, with Simulink the transfer function response curve without the regulation of the controller parameters, and then the resulting curve compared with the values P, I, D, after setting the PID values. The Sisotools software was used as a graphical tool to analyze the linear first order system. The controller gain is then modified to change the controller overshoot. The data flow and state diagrams were modeled using the Stateflow software in order to compare the theoretical data with the real model and validate the design concept. Finally, Matlab was used to solve the first-order differential equation. • Files during acquisition text format (.txt) • Graphic model of control files in Visio format (.vsd) • Modeling and simulation of each transfer function in Matlab, Simulink (.Slx) • Real poles adjustment with the Sisotool tool (.mat) • Model in Solid Works of the system (.pdf)