An Application of MVMO Based Adaptive PID Controller for Process with Variable Delay

Estefania Salazar, Marco Herrera, Oscar Camacho

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

In this work, a Mean–Variance Mapping Optimization (MVMO) based adaptive PID controller is developed for a chemical process with variable time delay. For this, an adaptive tuning equation is obtained based on delay time variation. In order to verify the performance of the proposed controller, a comparison against an adaptive Smith Predictor, an adaptive control tuned by Dahlin equations and a Gain Scheduling controller through the ISE, TVu indexes is made. The simulations results show that the response of the system with the proposal approach improves the performance of the process with variable time delay.

Idioma originalInglés
Título de la publicación alojadaSystems and Information Sciences - Proceedings of ICCIS 2020
EditoresMiguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas353-365
Número de páginas13
ISBN (versión impresa)9783030591939
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador
Duración: 27 jul. 202029 jul. 2020

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1273 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia1st International Conference on Systems and Information Sciences, ICCIS 2020
País/TerritorioEcuador
CiudadManta
Período27/07/2029/07/20

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