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

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

Industrial Processes Research Group (GIPI)

Research output: Contribution to conference › Paper

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.

Translated title of the contribution	Control adaptativo de programación de ganancias implementado en un sistema integrado
Original language	English (US)
State	Published - 3 Dec 2015
Event	II Congreso Salesiano de Ciencia, Tecnología e Innovación para la Sociedad (CITIS 2015) - EC Duration: 2 Dec 2015 → 3 Dec 2015 https://citis.blog.ups.edu.ec/historia-del-congreso/congreso-citis-2015

Conference

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

Keywords

Control
Machine
Models
Pid

CACES Knowledge Areas

417A Electronics, Automation and Sound

Cite this

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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",

}

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

Abstract

Conference

Keywords

CACES Knowledge Areas

Other files and links

Fingerprint

Predictive control strategies for industrial processes

Cite this

Gain Scheduling Adaptive Control Implemented in an Embedded System

Abstract

Conference

Keywords

CACES Knowledge Areas

Other files and links

Fingerprint

Projects

Predictive control strategies for industrial processes

Cite this