Open AccessRobust IT2FL Controller Design for the Speed Control of a BLDC Motor
Author(s) -
Hayder Yousif Abed,
Abdulrahim Thiab Humod,
Amjad J. Humaidi,
Ayad Q. Al-Dujaili
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7136.118419
Subject(s) - robustness (evolution) , pid controller , control theory (sociology) , matlab , electronic speed control , control engineering , computer science , dc motor , fuzzy logic , open loop controller , robustness testing , engineering , control (management) , artificial intelligence , temperature control , closed loop , biochemistry , chemistry , electrical engineering , gene , operating system
This work presents the design of intelligent controller for the speed control of a brushless DC motor under uncertainty in motor parameters. The Interval Type 2 Fuzzy Logic (IT2FL) controller has been proposed and designed to achieve the speed control specifications. A comparative study is conducted between IT2FL and PID controllers in terms of tracking performance and robustness characteristics. The effectiveness of both controller structures is verified through simulation within a MATLAB/Simulink environment. The simulated results showed that the IT2FL controller is more efficient than the PID counterpart in terms of tracking and robustness.