Autors: Yordanova, S. T., Ichtev, A. K.
Title: A Model-Free Neuro-Fuzzy Predictive Controller for Compensation of Nonlinear Plant Inertia and Time Delay
Keywords: fuzzy logic control, genetic algorithms, Lyapunov stability, fuzzy logic plant predictor, real time temperature control

Abstract: The aim is to develop simple for industrial use neuro-fuzzy (NF) predictive controllers (NFPCs) that improve the system performance and stability compensating the nonlinear plant inertia and time delay. A NF plant predictor is trained from real time plant control data and validated to supply a main model-free fuzzy logic controller with predicted plant information. A proper prediction horizon is determined via simulation investigations. The NFPC closed loop system stability is validated based on a parallel distributed compensation (PDC) approximation of the NFPC. The PDC can easily be embedded in industrial controllers. The proposed approach is applied for the real time air temperature control in a laboratory dryer. The improvements are reduced overshoot and settling time.



    Informatica, vol. 28, issue 4, pp. 749-766, 2017, Netherlands,

    Цитирания (Citation/s):
    1. Čiegis R., Suboč O., Čiegis, Remigijus, Numerical Simulation of Nonlocal Delayed Feedback Controller for Simple Bioreactors,Informatica, 2018, 29(3), pp. 233–249 233,DOI: - 2018 - в издания, индексирани в Scopus или Web of Science
    2. S. Guo, Y. Liu, Y. Zheng and T. Ersal (2021) A Delay Compensation Framework for Connected Testbeds, IEEE Trans. Sys, Man, and Cybs: Systems, online Early Access, DOI: 10.1109/TSMC.2021.3091974 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор