| Autors: Taneva, A. M., Petrov, M., Ganchev,I. Title: Hybrid PID Control Algorithms for Nonlinear Process Control Keywords: adaptive control algorithmhybrid fuzzy PID Abstract: This paper presents modifications of the classical PID control algorithm, implemented by an Adaptive Neuro-Fuzzy Architecture (ANFA). The main goal here is to design a fuzzy PID controller with a flexible structure, adaptive tuning of its parameters and algorithm modifications, which leads to improvement of the system performance. Thus the controlling process and system are prevented from the undesired and non expected changes of the system input signals. The antecedent part of the applied fuzzy rules contains a linear function, similar to the modified discrete equation of the corresponding conventional PID controller. The simulations demonstrate satisfactory results of these performances and implementations applied to a nonlinear plant. References Issue
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Цитирания (Citation/s):
1. Dongli Wu, Yunping Liu, Ze Xu, Weiyan Shang, Design and Development of Unmanned Surface Vehicle for Meteorological Monitoring, Intelligent Automation & Soft Computing, DOI: 10.32604/iasc.2020.012757 - 2020 - в издания, индексирани в Scopus или Web of Science
2. Simplified decoupled self-tuning fuzzy-PI controller for eliminating interaction in HVAC system - 2012 - в издания, индексирани в Scopus или Web of Science
Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science
