Gain Scheduling Adaptive Control Implemented in an Embedded System

Nino Tello Vega Ureta; Pablo Germán Parra Rosero; Wilton Edixon Agila Galvez

Gain Scheduling Adaptive Control Implemented in an Embedded System

Título traducido de la contribución: Control adaptativo de programación de ganancias implementado en un sistema integrado

Nino Tello Vega Ureta, Pablo Germán Parra Rosero, Wilton Edixon Agila Galvez

Producción científica: Contribución a una conferencia › Documento

Resumen

Este proyecto pretende mostrar un sistema en el que se realizan pruebas de control. Se ha construido una máquina, que puede implementar el control de nivel, de bajo costo, gracias al uso del sistema embebido Arduino Mega 256. Se determinaron modelos matemáticos de la máquina: tanto lineales como no lineales, mediante ecuaciones físicas, que se ajustan a los datos experimentales obtenidos. Se desarrolló un controlador adaptativo de Programas de Beneficios (CAGP) y se utilizaron los modelos matemáticos obtenidos previamente para obtener las constantes del controlador. El algoritmo CAGP se ha desarrollado en un sistema embebido en lenguaje propio.

Título traducido de la contribución	Control adaptativo de programación de ganancias implementado en un sistema integrado
Idioma original	Inglés estadounidense
Estado	Publicada - 3 dic. 2015
Evento	II Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad (CITIS 2015) - EC Duración: 2 dic. 2015 → 3 dic. 2015 https://citis.blog.ups.edu.ec/historia-del-congreso/congreso-citis-2015

Conferencia

Conferencia	II Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad (CITIS 2015)
Período	2/12/15 → 3/12/15
Dirección de internet	https://citis.blog.ups.edu.ec/historia-del-congreso/congreso-citis-2015

Palabras clave

Control
Machine
Models
Pid

Areas de Conocimiento del CACES

417A Electrónica, automatización y sonido

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title = "Gain Scheduling Adaptive Control Implemented in an Embedded System",

abstract = "This project aims to show a system in which control testing is performed. A machine has been built, which can implement level control, low cost, thanks to the use of the embedded system Arduino Mega 256. Mathematical models of the machine: both linear and nonlinear, were determined using physical equations, which fit with the experimental data obtained. An adaptive controller Profit Programs (CAGP) was developed and previously obtained mathematical models were used to obtain the constants of the controller. CAGP algorithm has been developed in own language embedded system.",

keywords = "Control, Machine, Models, Pid, Control, Machine, Models, Pid",

author = "{Vega Ureta}, {Nino Tello} and {Parra Rosero}, {Pablo Germ{\'a}n} and {Agila Galvez}, {Wilton Edixon}",

year = "2015",

month = dec,

day = "3",

language = "English (US)",

note = "II Congreso Salesiano de Ciencia, Tecnolog{\'i}a e Innovaci{\'o}n para la Sociedad (CITIS 2015) ; Conference date: 02-12-2015 Through 03-12-2015",

url = "https://citis.blog.ups.edu.ec/historia-del-congreso/congreso-citis-2015",

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TY - CONF

T1 - Gain Scheduling Adaptive Control Implemented in an Embedded System

AU - Vega Ureta, Nino Tello

AU - Parra Rosero, Pablo Germán

AU - Agila Galvez, Wilton Edixon

PY - 2015/12/3

Y1 - 2015/12/3

N2 - This project aims to show a system in which control testing is performed. A machine has been built, which can implement level control, low cost, thanks to the use of the embedded system Arduino Mega 256. Mathematical models of the machine: both linear and nonlinear, were determined using physical equations, which fit with the experimental data obtained. An adaptive controller Profit Programs (CAGP) was developed and previously obtained mathematical models were used to obtain the constants of the controller. CAGP algorithm has been developed in own language embedded system.

AB - This project aims to show a system in which control testing is performed. A machine has been built, which can implement level control, low cost, thanks to the use of the embedded system Arduino Mega 256. Mathematical models of the machine: both linear and nonlinear, were determined using physical equations, which fit with the experimental data obtained. An adaptive controller Profit Programs (CAGP) was developed and previously obtained mathematical models were used to obtain the constants of the controller. CAGP algorithm has been developed in own language embedded system.

KW - Control

KW - Machine

KW - Models

KW - Pid

KW - Control

KW - Machine

KW - Models

KW - Pid

UR - https://dspace.ups.edu.ec/handle/123456789/12776

M3 - Paper

T2 - II Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad (CITIS 2015)

Y2 - 2 December 2015 through 3 December 2015

ER -

Gain Scheduling Adaptive Control Implemented in an Embedded System

Resumen

Conferencia

Palabras clave

Areas de Conocimiento del CACES

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