Tutorial: Implementando Controladores Preditivos N\~ao Lineares atrav\'es do Ferramental LPV

Autor:	Morato, Marcelo Menezes, Naspolini, Amir, Normey-Rico, Julio Elias
Jazyk:	portugalština
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Systems and Control Mathematics - Optimization and Control
Druh dokumentu:	Working Paper
Popis:	Recent works have demonstrated how Linear Parameter Varying Model Predictive Control (LPV MPC) algorithms are able to control nonlinear systems with precision and reduced computational load. Specifically, these schemes achieve comparable performances to state-of-the-art nonlinear MPCs, while requiring the solution of only one quadratic programming problem (thus being real-time capable). In this tutorial paper, we provide a step-by-step overview of how to implement such LPV MPC algorithms, covering from modelling to stability aspects. For illustration purposes, we consider a realistic implementation for a gas-lift petroleoum extraction process, comparing the LPV approach with the becnhmark nonlinear MPC software CasADi. Comment: Main text in portuguese, submitted to the 2023 Simp\'osio Brasileiro de Automa\c{c}\~ao Inteligente (SBAI 2023)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.14981 Zobrazit plný text záznamu View this record from Arxiv