Main Article Content
The modeling of BLDC motor and performance analysis under diverse operating speed settings has been presented in this paper. BLDC motors gaining more & more attention from different Industrial and domestic appliance manufacturers due to its compact size, high efficiency and robust structure. Voluminous research and developments in the domains of material science and power electronics led to substantial increase in applications of BLDC motor to electric drives. This paper deals with the modeling of BLDC motor drive system along with a comparative study of modified queens bee evolution based GA tuned & manually tuned control schemes using MATLAB /SIMULINK. In order to evaluate the performance of proposed drive, simulation is carried out at different Mechanical load & speed conditions. Test outcomes thus achieved show that the model performance is satisfactory.
Masmoudi M, El Badsi B, Masmoudi A, Direct torque control of brushless DC motor drives with improved reliability. In IEEE Transactions on Industry Applications. 2014;50(6):3744-3753.
Derammelaere S, Haemers M, De Viaene J, Verbelen F, Stockman K, A quantitative comparison between BLDC, PMSM, brushed DC and stepping motor technologies," 19th International Conference on Electrical Machines and Systems (ICEMS), Chiba. 2016;1-5.
Gierlotka S, Hampel P. Problems associated with commutation control in hoists. Poland: N. Web; 1985.
Vinatha U, Pola S, Vittal KP. Recent developments in control schemes of BLDC motors. 2006 IEEE International Conference on Industrial Technology, Mumbai. 2006;477-482.
Sakunthala S, Kiranmayi R, Mandadi PN, A study on industrial motor drives: comparison and applications of PMSM and BLDC motor drives. 2017 International conference on energy, communication, data analytics and soft computing (ICECDS), Chennai. 2017;537-540.
Azeem MF. A novel parent selection operator in GA for tuning of scaling factors of FKBC. IEEE Int. Conf. Fuzzy Syst. 2006;1742–1747.
Azeem MF, Saad AM. Modified queen bee evolution based genetic algorithm for tuning of scaling factors of fuzzy knowledge base controller. Proceedings of the IEEE Indicon 2004. First India Annual Conference. Kharagpur, India. 2004;299-303.
Kamal MM, Mathew L, Chatterji S. Speed control of brushless DC motor using intelligent controllers. In 2014 Students Conference on Engineering and Systems. IEEE. 2014;1-5.
Gaveau J, Le Martret CJ, Assaad M. Performance analysis of trial and error algorithms. In IEEE transactions on parallel and distributed systems. 2020;31(6):1343-1356.