Open AccessReal-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor
Author(s) -
Ali Mousmi,
Ahmed Abbou,
Yassine El Houm
Publication year - 2019
Publication title -
international journal of power electronics and drive systems (ijpeds)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.322
H-Index - 21
ISSN - 2088-8694
DOI - 10.11591/ijpeds.v10.i3.pp1167-1177
Subject(s) - control theory (sociology) , fuzzy logic , controller (irrigation) , computer science , electronic speed control , dc motor , mode (computer interface) , control engineering , control (management) , engineering , artificial intelligence , electrical engineering , agronomy , biology , operating system
This paper presents a novel hybrid control of a BLDC motor using a mixed sliding mode and fuzzy logic controller. The objective is to build a fast and robust controller which overcome classical controllers’ inconveniences and exploit the fast response of brushless dc motors characterized by an intense torque and fast response time. First the paper study pros and cons of both sliding mode and fuzzy logic controllers. Then the novel controller and its stability demonstration are presented. Finally the proposed controller method is used for the speed control of a BLDC motor 3KW. The obtained results are compared with those of a fuzzy logic and a conventional sliding mode controller. It allows to show performance of the proposed controller in terms of speed response and reaction against disturbances, which is improved more than 5 times without losing stability or altering tracking accuracy