Model predictive control with PWA models

• Autores: Oliden J., Ipanaque W.
• Formato: artículo
• Fecha de Publicación: 2020
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/2471
• Enlace del recurso: https://hdl.handle.net/20.500.12390/2471; https://doi.org/10.1109/EIRCON51178.2020.9254054
• Nivel de acceso: acceso abierto
• Materia: PWA; NEPSAC; non linear control; http://purl.org/pe-repo/ocde/ford#2.02.04

This article presents on controlling a fishmeal dryer. A model-based predictive controller was designed to control the amount of moisture present in fishmeal. The Nonlinear Extended Prediction Self-Adaptive Control (NEPSAC) approach has been used. This approach uses a non-linear model in its implementation. In this work we study the use of piecewise affine (PWA) models to approximate the non-linear model. The use of PWA models reduces calculation time but worsens the performance of the controller. © 2020 IEEE.