Open AccessDesign and Simulation of ANFIS based Brushless DC Motor Control
Author(s) -
Achyut Prajapati,
Pratibha Tiwari
Publication year - 2021
Publication title -
samriddhi - a journal of physical sciences, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2454-5767
pISSN - 2229-7111
DOI - 10.18090/samriddhi.v13i02.2
Subject(s) - adaptive neuro fuzzy inference system , dc motor , computer science , control theory (sociology) , electronic speed control , controller (irrigation) , control engineering , reliability (semiconductor) , torque , pid controller , inference system , swift , fuzzy logic , fuzzy control system , control (management) , engineering , artificial intelligence , temperature control , agronomy , power (physics) , physics , quantum mechanics , electrical engineering , biology , thermodynamics , programming language
BLDC motor control with ANFIS control methods was investigated and analysed, in this work. The results show that the ANFIS approach is simple, efficient and achieves the desired speed and torque values. The approach was developed and used in both industrial and literary applications. The ANFIS controller was compared with Fuzzy and PI controllers. ANFIS has proved its reliability and good performance. Besides its swift execution, speed control has demonstrated its capability to maintain a minimum cost and commitment track of the target speed values. The method is a basic method with light steps and no reference processing or synchronisation is required.