Design and Co-Analysis of A Permanent Magnet Brushless DC Motor By Using Clonal Selection Principle Based Wound Healing Algorithm and Ansys-Maxwell

Abstract

This paper presents the design and analysis of a 550 W Permanent Magnet (PM) Brushless DC motor (BLDC). The finite element method (FEM) was employed to assess the motor's performance characteristics. The design and dynamic performance analysis were conducted using ANSYS/Rmxprt, while electromagnetic studies were carried out using ANSYS/Maxwell-2D. Additionally, optimization of the DC motor was achieved through a Wound Healing Algorithm (WHA). A PID controller was designed for this purpose. The paper also elaborates on the detailed design equations for creating a BLDC motor. BLDC motors are known for their high dynamic responses, efficiency, extended operating life, wide speed change intervals, and noise-free operation. The motor's geometry was modeled in the ANSYS-Maxwell-Rmxprt software tool and later imported into the Maxwell-2D environment for further analysis. The designed motor was observed to operate with 93% efficiency, meeting the specified torque value. The results of the optimization process were interpreted by comparing them with the values obtained from the ANSYS software.

Keywords

• BLDC
• WHA
• Optimization
• PID Controller

References

1. Bala, M. J., Roy, D. & Sengupta, A. (2020, 5-6 September). The Performance Enhancement of BLDC Motor Using Halbach Array Rotor. In: Proceedings of the 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE), (pp. 405-409), Kolkata, India. https://www.doi.org/10.1109/ICCE50343.2020.9290642
2. Bapayya, N. K., & Venkata, R. K. (2020). Direct instantaneous torque control of Brushless DC motor using firefly Algorithm based fractional order PID controller. Journal of King Saud University- Motorering Sciences, 32(2), 133-140. https://www.doi.org/10.1016/j.jksues.2018.04.007
3. Dusane, P. M. (2016). Simulation of a Brushless DC Motor in ANSYS- Maxwell 3D, Prague. MSc Thesis, Czech Technical University in Prague.
4. Ibrahim, H. E. A., Hassan, F. N., & Anas, O. (2014). Optimal PID control of a brushless DC motor using PSO and BF techniques. Ain Shams Motorering Journal, 5(2), 391-398. https://www.doi.org/10.1016/j.asej.2013.09.013
5. Kannojia, P., & Chinmaya, K. A. (2023, 3-5 January). Comparative Review and Finite Element Analysis of Energy Efficient Motors. In: Proceedings of the International Conference on Power Electronics and Energy (ICPEE), Bhubaneswar, India. https://www.doi.org/10.1109/ICPEE54198.2023.10059611
6. Kumar, R., Kumar, P., Kumar, B., Singh, P., Kumar, R., & Kumar, A. (2022, 24-25 June). Design and Analysis of High performance of a BLDC Motor for Electric Vehicle. In: Proceedings of the 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), Patna, India. https://www.doi.org/10.1109/ICEFEET51821.2022.984830
7. Kumar, A., Gandhi, R., Wilson, R. & Roy, R. (2020, 18-21 October). The impact of different slot design of BLDC motor in a complete drive system. In: Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore. https://www.doi.org/10.1109/IECON43393.2020.9255391
8. Özüpak, Y., & Aslan, E. (2023). Researching Inductive Power Transfer For Next Generation Electric Vehicles. Ejons International Journal, 7(2), 220-232. https://www.doi.org/0.5281/zenodo.8265795