Enhancing Torque Smoothness in BLDC Motors with Built-in DC-DC Converter via Bitterling Fish Optimization Algorithm

Authors

DOI:

https://doi.org/10.4108/ew.6618

Keywords:

BLDC Motors, Bitterling Fish Optimization, Commutation, Diode Bridge Rectifier, Speed Control, Switched Inductor, Torque Ripple

Abstract

Brushless DC (BLDC) motors are efficient and robust electric motors with fewer moving parts, but their application is often limited by torque ripple, which arises from current variations between the entering and exiting phases during commutation. This study aims to minimize torque ripple in BLDC motors integrated with a DC-DC converter. The proposed optimization method utilizes the Bitterling Fish Optimization (BFO) Algorithm to effectively control torque error and speed, addressing the torque ripple caused by current variations during commutation. The proposed method is implemented using the MATLAB working environment and compared with various existing methods like Spider Web Algorithm (SWA), Improved Tunicate Swarm Optimization Algorithm (ITSA), and Harris Hawks Optimizer with Black Widow Optimization (HHO-BWO). The results indicate that the proposed method achieves a reduced torque ripple rate of 9.64, significantly lower than the rates of 17.32, 11.20 and 22.19 for ITSA, HHO-BWO and SWA respectively. Additionally, the proposed approach exhibits low error of 0.168, outperforming the existing methods errors of 0.287, 0.195 and 0.311. These findings demonstrate that the BFO algorithm effectively minimizes torque ripple more than existing optimization techniques, providing a promising solution for enhancing the performance of BLDC motors.

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References

[1] Shifat TA, Hur JW. An effective stator fault diagnosis framework of BLDC motor based on vibration and current signals. IEEE Access. 2020;8:106968-81.

[2] de Almeida PM, Valle RL, Barbosa PG, Montagner VF, Ćuk V, Ribeiro PF. Robust control of a variable-speed BLDC motor drive. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 2020;2(1):32-41.

[3] Valle RL, De Almeida PM, Fogli GA, Ferreira AA, Barbosa PG. Simple and effective digital control of a variable-speed low inductance BLDC motor drive. IEEE Access. 2020;8:13240-50.

[4] Shifat TA, Hur JW. ANN assisted multi sensor information fusion for BLDC motor fault diagnosis. IEEE Access. 2021;9:9429-41.

[5] Yigit T, Celik H. Speed controlling of the PEM fuel cell powered BLDC motor with FOPI optimized by MSA. International Journal of Hydrogen Energy. 2020;45(60):35097-107.

[6] Trivedi MS, Keshri RK. Evaluation of predictive current control techniques for PM BLDC motor in stationary plane. IEEE Access. 2020;8:46217-28.

[7] Gamazo-Real JC, Martínez-Martínez V, Gomez-Gil J. ANN-based position and speed sensorless estimation for BLDC motors. Measurement. 2022;188:110602.

[8] Dutta P, Nayak SK. Grey wolf optimizer based PID controller for speed control of BLDC motor. Journal of Electrical Engineering & Technology. 2021;16:955-61.

[9] Toren M. Comparatıve analysis of the magnet effects on the permanent magnet BLDC motor performance used in electric vehicles. Electrical Engineering. 2022;104(5):3411-23.

[10] Lins AW, Krishnakumar R. Tuning of PID controller for a PV-fed BLDC motor using PSO and TLBO algorithm. Applied Nanoscience. 2023;13(4):2911-34.

[11] Kumar PH, Somasekhar VT. An enhanced fault-tolerant and autoreconfigurable BLDC motor drive for electric vehicle applications. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 2022;4(1):368-80.

[12] Rajesh P, Shajin FH, Kommula BN. An efficient integration and control approach to increase the conversion efficiency of high-current low-voltage DC/DC converter. Energy Systems. 2022; 13(4):939-58.

[13] Kumar PS, Reddy MP, Kirubananthan K, Ali SM. Energy management of a fuel cell/ultra-capacitor hybrid electric vehicle under uncertainty based on CO-SNN method. Journal of Energy Storage. 2024; 88:111496.

[14] Kommula BN, Kota VR. An integrated converter topology for torque ripple minimization in BLDC motor using an ITSA technique. Journal of Ambient Intelligence and Humanized Computing. 2022:1-20.

[15] Bharanigha V, Shuaib YM. Minimization of torque ripples with optimized controller based four quadrant operation & control of BLDC motor. Advances in Engineering Software. 2022;172:103192.

[16] Prakash A, Naveen C. Combined strategy for tuning sensor-less brushless DC motor using SEPIC converter to reduce torque ripple. ISA transactions. 2023; 133:328-44.

[17] Rajesh A, Saravanan AG. Torque ripple minimization of bridgeless CUK converter-based BLDC motor using Improved Jellyfish Search Algorithm. ISA transactions. 2023; 136:374-89.

[18] Anshory I, Jamaaluddin J, Wisaksono A, Sulistiyowati I, Rintyarna BS, Fudholi A, Rahman YA, Sopian K. Optimization DC-DC boost converter of BLDC motor drive by solar panel using PID and firefly algorithm. Results in Engineering. 2024; 21:101727.

[19] Naqvi SS, Jamil H, Iqbal N, Khan S, Lee DI, Park YC, Kim DH. Multi-objective optimization of PI controller for BLDC motor speed control and energy saving in Electric Vehicles: a constrained swarm-based approach. Energy Reports. 2024; 12:402-17.

[20] Fathima A, Vijayasree G. Design of BLDC motor with torque ripple reduction using spider-based controller for both sensored and sensorless approach. Arabian Journal for Science and Engineering. 2022; 47(3):2965-75.

[21] Kim J, Ryu SW, Rafaq MS, Choi HH, Jung JW. Improved torque ripple minimization technique with enhanced efficiency for surface-mounted PMSM drives. IEEE Access. 2020;8:115017-27.

[22] Bhaktha BS, Jose N, Vamshik M, Pitchaimani J, Gangadharan KV. Driving Cycle-based Design Optimization and Experimental Verification of a Switched Reluctance Motor for an E-Rickshaw. IEEE Transactions on Transportation Electrification. 2024.

[23] Usha S, Dubey PM, Ramya R, Suganyadevi MV. Performance enhancement of BLDC motor using PID controller. International Journal of Power Electronics and Drive Systems. 2021;12(3):1335.

[24] Nur T, Joe LE, Siregar M, Joe LE, Siregar M. Novel of cogging torque reduction technique for permanent magnet generator by compounding of magnet edge shaping and dummy slotting in stator core. International Journal on Advanced Science Engineering Information Technology. 2020;10(3):1191-9.

[25] Fan D, Quan L, Zhu X, Xiang Z, Que H. Airgap-harmonic-based multilevel design and optimization of a double-stator flux-modulated permanent-magnet motor. IEEE Transactions on Industrial Electronics. 2020;68(11):10534-45.

[26] Wang X, Wang Z, Xu Z, Cheng M, Hu Y. Optimization of torque tracking performance for direct-torque-controlled PMSM drives with composite torque regulator. IEEE Transactions on Industrial Electronics. 2020;67(12):10095-108.

[27] Zareian L, Rahebi J, Shayegan MJ. Bitterling fish optimization (BFO) algorithm. Multimedia Tools and Applications. 2024:1-34.

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Published

30-01-2025

How to Cite

1.
Balamurugan K, Revathi BS. Enhancing Torque Smoothness in BLDC Motors with Built-in DC-DC Converter via Bitterling Fish Optimization Algorithm. EAI Endorsed Trans Energy Web [Internet]. 2025 Jan. 30 [cited 2025 Feb. 15];12. Available from: https://publications.eai.eu/index.php/ew/article/view/6618