Integração de Modelo Fuzzy TSK em um Controlador Preditivo com Região Viável Estendida
Keywords: Fuzzy Model Predictive Control (FMPC), Infinite-Horizon Model Predictive Control (IHMPC), Feasibility, Non-linear
AbstractThis 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.