Resumen
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.
| Idioma original | Inglés |
|---|---|
| Publicación | IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI |
| N.º | 2025 |
| DOI | |
| Estado | Publicada - 2025 |
| Evento | 2025 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2025 - Armenia, Colombia Duración: 27 ago. 2025 → 29 ago. 2025 |
Huella
Profundice en los temas de investigación de 'Fuzzy Multi-Model Sliding Mode Controller for Thermal Process with Long-time Delay'. En conjunto forman una huella única.Citar esto
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