Speed Control of Brushless DC Motor Using Modified Genetic Algorithm Tuned Fuzzy Controller
Current Journal of Applied Science and Technology · pp. 54–64 · Published 11 May 2020
10.9734/cjast/2020/v39i930606Abstract
In the last decade with increasing motor application domain, need towards usage of precisely controlled, noise free, highly efficient and high starting torque motors also increases, as a result dedicated applications has fascinated the researcher toward brushless DC motor. Brushless DC motors can act as suitable alternative to the traditional Brushed direct current motor, Induction Motor etc. This research paper inspects the ease and effectiveness of modified queen bee based GA tuned fuzzy controller and shows the performance of a proposed controller under diverse speed settings. A comparative study with conventional PI controller shows effectiveness of modified queen bee based GA Tuned Fuzzy controller, in terms of parameter like peak overshoot and settling time. MATLAB/SIMULINK Environment is used for optimization and modeling of Brushless DC motor drive.
Cited by 4
Nikkitha K, Sowmya E, Parimala E · 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · 2022
Debadeep Sen, Modi Pandu Ranga Prasad · Lecture Notes in Electrical Engineering · 2025
Karthikeyan Kaliyaperumal, T. Sathesh Kumar, Ravi Kant · 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) · 2022
Showing 3 of 4 known citations — external sources report more than can currently be individually listed.
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