Akademik Veri Yönetim Sistemi
SILK ROAD 5. INTERNATIONAL SCIENTIFIC RESEARCH CONGRESS, Antalya, Türkiye, 16 - 18 Ocak 2026, ss.338-351, (Tam Metin Bildiri)
Brushless Direct Current (BLDC) motors are widely used in industrial and automotive applications due to their advantages such as high efficiency, long service life, low maintenance requirements, and high-power density. However, the nonlinear dynamic characteristics and parameter uncertainties of BLDC motors make it difficult to achieve the desired performance using conventional control methods. Although traditional PI and PID controllers are simple and reliable, their performance is limited under varying operating conditions. Therefore, fuzzy logic controllers, which can operate without full dependence on an accurate mathematical model and incorporate human expertise into the control process through a rule-based structure, have emerged as a powerful alternative. In this study, two different fuzzy logic–based controller structures are designed and comparatively analyzed for the speed control of BLDC motors. In the first controller, Gaussian membership functions are employed for both input and output variables to achieve smooth transitions and precise control behavior. In the second controller, input variables are modelled using triangular membership functions, while the output variable is constructed using singleton membership functions, resulting in a computationally efficient structure with fast dynamic response. The proposed controllers are evaluated under various operating conditions in a simulation environment, considering the nonlinear nature of the BLDC motor. The obtained results are assessed in terms of reference speed tracking performance, transient response characteristics, and integral error–based performance indices, thereby revealing the effects of different membership function structures on control performance. The results demonstrate the superiority of the singleton membership function-based controller in terms of performance metrics.