Open AccessApplication of Soft Computing Techniques for Speed Control of Brushless DC Motors
Author(s) -
Mitali Samal,
Soumya Ranjan Das,
Bikash Chandra Pattnaik
Publication year - 2022
Publication title -
international journal of electrical and electronics engineering
Language(s) - English
Resource type - Journals
ISSN - 2231-5284
DOI - 10.47893/ijeee.2022.1180
Subject(s) - dc motor , electronic speed control , computer science , torque , matlab , brushed dc electric motor , control theory (sociology) , mode (computer interface) , control engineering , automotive engineering , control (management) , ac motor , engineering , electrical engineering , artificial intelligence , physics , thermodynamics , operating system
Nowadays Brushless DC (BLDC) motors are treated as the most popular motors, which are applied widely due to their higher efficiency and excellent torque characteristics. Moreover they are operated with DC supply and without using brushes. But BLDC motor operate with wide speed range and therefore it is required to regulate the speed of DC motor using different advanced techniques. In this work, the fuzzy sliding mode control (FSMC) is employed for controlling the speed of BLDC motor. The proposed method is compared with the conventional Sliding mode control (SMC) and the results are analyzed using MATLAB/ Simulink tool.