Processes with Variable Parameters and Dominant Time Delay: A Fuzzy Adaptive Control Approaches Comparison

Edwin Anchitipan, Oscar Camacho

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

5 Citas (Scopus)

Resumen

The present brief shows the design and application of different fuzzy adaptive control techniques. These approaches are a Smith predictor with a dead time fuzzy gain scheduling block, a fuzzy gain scheduling PID controller, and an adaptive PID controller with a fuzzy supervisor block. A mixing tank with variable parameters and dominant dead time, as a benchmark, uses the three controllers. Each controller’s effectiveness is evaluated through a simulation test carried out on the MATLAB-Simulink 2020a platform: a tracking task in the presence of external disturbances. The results indicate that the system response with these controllers is stable, and the control signal is adequate because it remains inside its allowed range. ISE (integral square error), TVu (total variation of the control signal), ts (settling time), and %Mp (percentage of overshoot) indices measure the controllers’ performance.

Idioma originalInglés
Título de la publicación alojadaRecent Advances in Electrical Engineering, Electronics and Energy - Proceedings of the CIT 2020
EditoresMiguel Botto Tobar, Henry Cruz, Angela Díaz Cadena
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas181-195
Número de páginas15
ISBN (versión impresa)9783030722074
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento15th Multidisciplinary International Congress on Science and Technology, CIT 2020 - Quito, Ecuador
Duración: 26 oct. 202030 oct. 2020

Serie de la publicación

NombreLecture Notes in Electrical Engineering
Volumen762 LNEE
ISSN (versión impresa)1876-1100
ISSN (versión digital)1876-1119

Conferencia

Conferencia15th Multidisciplinary International Congress on Science and Technology, CIT 2020
País/TerritorioEcuador
CiudadQuito
Período26/10/2030/10/20

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