Integração de Modelo Fuzzy TSK em um Controlador Preditivo com Região Viável Estendida

  • Victor S. Matos Programa de Pós-Graduação em Mecatrônica (PPGM), Universidade Federal da Bahia, BA
  • Thiago P. das Chagas Laboratório de Mecatrônica, Universidade Estadual de Santa Cruz, BA
  • Márcio A.F. Martins Programa de Pós-Graduação em Mecatrônica (PPGM), Universidade Federal da Bahia, BA
Keywords: Fuzzy Model Predictive Control (FMPC), Infinite-Horizon Model Predictive Control (IHMPC), Feasibility, Non-linear

Abstract

This work presents the first approach of infinite horizon predictive controller (IHMPC) based on a fuzzy model with guarantee of feasibility for application in non-linear systems. This technique is based on the fuzzy Takagi-Sugeno-Kang struture to model a nonlinear system as a linear parameter varying (LPV), updated at each time step. This approach allows the use of linear MPC techniques, instead of computationally extensive nonlinear MPC topologies. Simulations, incluing mismatch scenarios and unmeasured disturbances were implemented, validating the proposed controller.
Published
2021-10-20
Section
Articles