Fuzzy Multi-Model Sliding Mode Controller for Thermal Process with Long-time Delay

Marco Herrera; Luis Caiza; Diego S. Benítez; Noel Pérez-Pérez; Oscar Camacho; Alvaro Prado

doi:10.1109/ColCACI67437.2025.11230907

Fuzzy Multi-Model Sliding Mode Controller for Thermal Process with Long-time Delay

Marco Herrera^*
, Luis Caiza
, Diego S. Benítez
, Noel Pérez-Pérez
, Oscar Camacho
, Alvaro Prado

^*Corresponding author for this work

Universidad San Francisco de Quito
Universidad Católica del Norte

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

This paper introduces an integrated control framework that combines Fuzzy Multi-Model Control (FMMC) with Sliding Mode Control (SMC) to tackle the challenges posed by long time delays in chemical processes. The control design uses a Takagi-Sugeno (TS) fuzzy model, where each rule defines a local linear model. This enhances the robustness and responsiveness of SMC under varying conditions. The proposed method shows better adaptability to dynamic changes and non-linear behaviors, offering improved performance in both steady-state and transient conditions compared to traditional SMC controller.

Original language	English
Journal	IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI
Issue number	2025
DOIs	https://doi.org/10.1109/ColCACI67437.2025.11230907
State	Published - 2025
Event	2025 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2025 - Armenia, Colombia Duration: 27 Aug 2025 → 29 Aug 2025

Keywords

Fuzzy Multi-model
Long-time Delay
Sliding Mode Control
Thermal Process

Access to Document

10.1109/ColCACI67437.2025.11230907

Cite this

@article{1854d8d9399c4f628118fa4fe87613dc,

title = "Fuzzy Multi-Model Sliding Mode Controller for Thermal Process with Long-time Delay",

abstract = "This paper introduces an integrated control framework that combines Fuzzy Multi-Model Control (FMMC) with Sliding Mode Control (SMC) to tackle the challenges posed by long time delays in chemical processes. The control design uses a Takagi-Sugeno (TS) fuzzy model, where each rule defines a local linear model. This enhances the robustness and responsiveness of SMC under varying conditions. The proposed method shows better adaptability to dynamic changes and non-linear behaviors, offering improved performance in both steady-state and transient conditions compared to traditional SMC controller.",

keywords = "Fuzzy Multi-model, Long-time Delay, Sliding Mode Control, Thermal Process",

author = "Marco Herrera and Luis Caiza and Ben{\'i}tez, \{Diego S.\} and Noel P{\'e}rez-P{\'e}rez and Oscar Camacho and Alvaro Prado",

note = "Publisher Copyright: {\textcopyright}2025 IEEE.; 2025 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2025 ; Conference date: 27-08-2025 Through 29-08-2025",

year = "2025",

doi = "10.1109/ColCACI67437.2025.11230907",

language = "Ingl{\'e}s",

journal = "IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI",

issn = "2769-3651",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2025",

}

TY - JOUR

T1 - Fuzzy Multi-Model Sliding Mode Controller for Thermal Process with Long-time Delay

AU - Herrera, Marco

AU - Caiza, Luis

AU - Benítez, Diego S.

AU - Pérez-Pérez, Noel

AU - Camacho, Oscar

AU - Prado, Alvaro

PY - 2025

Y1 - 2025

N2 - This paper introduces an integrated control framework that combines Fuzzy Multi-Model Control (FMMC) with Sliding Mode Control (SMC) to tackle the challenges posed by long time delays in chemical processes. The control design uses a Takagi-Sugeno (TS) fuzzy model, where each rule defines a local linear model. This enhances the robustness and responsiveness of SMC under varying conditions. The proposed method shows better adaptability to dynamic changes and non-linear behaviors, offering improved performance in both steady-state and transient conditions compared to traditional SMC controller.

AB - This paper introduces an integrated control framework that combines Fuzzy Multi-Model Control (FMMC) with Sliding Mode Control (SMC) to tackle the challenges posed by long time delays in chemical processes. The control design uses a Takagi-Sugeno (TS) fuzzy model, where each rule defines a local linear model. This enhances the robustness and responsiveness of SMC under varying conditions. The proposed method shows better adaptability to dynamic changes and non-linear behaviors, offering improved performance in both steady-state and transient conditions compared to traditional SMC controller.

KW - Fuzzy Multi-model

KW - Long-time Delay

KW - Sliding Mode Control

KW - Thermal Process

UR - https://www.scopus.com/pages/publications/105030335688

U2 - 10.1109/ColCACI67437.2025.11230907

DO - 10.1109/ColCACI67437.2025.11230907

M3 - Artículo de la conferencia

AN - SCOPUS:105030335688

SN - 2769-3651

JO - IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI

JF - IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI

IS - 2025

T2 - 2025 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2025

Y2 - 27 August 2025 through 29 August 2025

ER -

Fuzzy Multi-Model Sliding Mode Controller for Thermal Process with Long-time Delay

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this