Fuzzy logic control for the reactor temperature of an HDT pilot plant

A. Morales-Sánchez; A. Ramírez-Zúñiga; R. Urbieta-Parrazales

doi:10.1081/LFT-120028500

Fuzzy logic control for the reactor temperature of an HDT pilot plant

A. Morales-Sánchez, A. Ramírez-Zúñiga, R. Urbieta-Parrazales

Centro de Investigación en Computación (CIC)

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

Resumen

Nowadays, Fuzzy Logic Controllers (FLC) have proven to be successful to control process applications. This work presents a fuzzy intelligent controller that uses a specific purpose microcontroller with six fuzzy rules to control the reactor temperature of the Instituto Mexicano del Petroleo Hydrotreatment (HDT) Pilot Plant in a range of 0-700°C. The work includes simulation and experimental tests for normal operating conditions and abrupt step disturbances. FLC response is compared against traditional PID controller response, observing a better FLC temperature control response under disturbance conditions.

Idioma original	Inglés
Páginas (desde-hasta)	1-11
Número de páginas	11
Publicación	Petroleum Science and Technology
Volumen	22
N.º	1-2
DOI	https://doi.org/10.1081/LFT-120028500
Estado	Publicada - 2004

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abstract = "Nowadays, Fuzzy Logic Controllers (FLC) have proven to be successful to control process applications. This work presents a fuzzy intelligent controller that uses a specific purpose microcontroller with six fuzzy rules to control the reactor temperature of the Instituto Mexicano del Petroleo Hydrotreatment (HDT) Pilot Plant in a range of 0-700°C. The work includes simulation and experimental tests for normal operating conditions and abrupt step disturbances. FLC response is compared against traditional PID controller response, observing a better FLC temperature control response under disturbance conditions.",

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AU - Morales-Sánchez, A.

AU - Ramírez-Zúñiga, A.

AU - Urbieta-Parrazales, R.

PY - 2004

Y1 - 2004

N2 - Nowadays, Fuzzy Logic Controllers (FLC) have proven to be successful to control process applications. This work presents a fuzzy intelligent controller that uses a specific purpose microcontroller with six fuzzy rules to control the reactor temperature of the Instituto Mexicano del Petroleo Hydrotreatment (HDT) Pilot Plant in a range of 0-700°C. The work includes simulation and experimental tests for normal operating conditions and abrupt step disturbances. FLC response is compared against traditional PID controller response, observing a better FLC temperature control response under disturbance conditions.

AB - Nowadays, Fuzzy Logic Controllers (FLC) have proven to be successful to control process applications. This work presents a fuzzy intelligent controller that uses a specific purpose microcontroller with six fuzzy rules to control the reactor temperature of the Instituto Mexicano del Petroleo Hydrotreatment (HDT) Pilot Plant in a range of 0-700°C. The work includes simulation and experimental tests for normal operating conditions and abrupt step disturbances. FLC response is compared against traditional PID controller response, observing a better FLC temperature control response under disturbance conditions.

KW - Fuzzy logic control

KW - Hydrotreatment

KW - Intelligent control

KW - Membership function

KW - PID controller

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VL - 22

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EP - 11

JO - Petroleum Science and Technology

JF - Petroleum Science and Technology

IS - 1-2

ER -

Fuzzy logic control for the reactor temperature of an HDT pilot plant

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