Open AccessNovel product ANFIS‐PID hybrid controller for buck converters
Author(s) -
Shaikh Umair A.,
AlGhamdi Mohammad K.,
AlZaher Hussain A.
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.0113
Subject(s) - pid controller , control theory (sociology) , computer science , converters , robustness (evolution) , adaptive neuro fuzzy inference system , buck converter , controller (irrigation) , control engineering , fuzzy logic , voltage , fuzzy control system , engineering , temperature control , artificial intelligence , control (management) , agronomy , biochemistry , chemistry , electrical engineering , biology , gene
This study introduces the use of arithmetic and logical hybrid controllers between proportional–integrative–derivative (PID) controllers and adaptive neuro‐fuzzy inference system (ANFIS) for voltage regulation with buck‐type DC–DC converters and proposes the novel product hybrid controller. The product hybrid controller combines the advantages of a PID controller and ANFIS controller to obtain an improved response and light and heavy load efficiency for the buck converter. PIDs are known for their good response and robustness but suffer due to non‐optimal tuning for non‐linear systems. ANFISs, on the other hand, excel in varying and abnormal conditions. ANFIS controllers also can improve and adapt their response to the current load or inputs with time. Simulation results are presented and analysed for all the controllers to validate the controller designs. The controllers are also verified experimentally. It is observed that the hybrid controllers provide enhanced tracking and response capabilities in comparison to classical PID controllers, with the novel product hybrid improving on the steady‐state error, peak efficiency, and overall light and load operation.