A Novel Design Methodology and Numerical Simulation of BLDC Motor for Power Loss Reduction

Neelam Sanjeev Kumar; Gokul Chandrasekaran; Jayakumar Thangavel; Vanchinathan K.; Gnanavel C.; Neeraj Priyadarshi; M. S. Bhaskar; Mohamed G. Hussien; Fayez F. M. El-Sousy; Mosaad M. Ali

doi:10.3390/app122010596

journal article·2022-10-20Open access

A Novel Design Methodology and Numerical Simulation of BLDC Motor for Power Loss Reduction

Neelam Sanjeev Kumar, Gokul Chandrasekaran, Jayakumar Thangavel, Vanchinathan K., Gnanavel C., Neeraj Priyadarshi, M. S. Bhaskar, Mohamed G. Hussien, Fayez F. M. El-Sousy, Mosaad M. Ali

Applied Sciences· Volume 12· Issue 20

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Source abstract

Abstract

In recent decades, there has been a growing interest in the design and development of power loss reduction in electric drive systems. To realize the full potential of the Brushless DC motor (BLDCM), the design methodology of an effective intelligent controller is vital. On the other hand, the Landsman converter is used in a bridgeless configuration to enhance the power factor and minimize the power loss of the BLDCM. In addition, BLDCM utilizes the different intelligent controllers that are used to decrease power loss. The performance of the Landsman converter and CSC converter is analyzed concerning various configurations/stages, and the numerical MATLAB 2016a simulation results are discussed to arrive at the suitable intelligent controller for the BLDC motor, and comparison results are presented. The proposed converter is designed and validated using hardware implementation by minimizing power loss. Effectiveness can be tested and valued for the proposed controller for the various intelligent controllers of BLDCM.

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Research context

OpenAlex topics: Sensorless Control of Electric Motors · Advanced DC-DC Converters · Electric Motor Design and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Biomedical Engineering, Saveetha School of Engineering, SIMATS, Chennai 602105, India

Department of Electrical and Electronics Engineering, Velalar College of Engineering and Technology, Affiliated to Anna University, Chennai 600025, India

Department of Electrical and Electronics Engineering, Nandha Engineering College, Affiliated to Anna University, Chennai 600025, India

Department of Electrical and Electronics Engineering, AMET Deemed to be University, Chennai 603112, India

Department of Electrical Engineering, JIS College of Engineering, Kolkata 741235, India

Renewable Energy Lab, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University, Tanta 31527, Egypt

Electrical Engineering Department, College of Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia

Department of Electrical Engineering, Faculty of Engineering, Kafrelsheikh University, Kafr el-Sheikh 33516, Egypt

Funding

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

References (17)

Show source-provided references

1. IoT Based monitoring and control of fluid transportation using machine learning10.1016/j.compeleceng.2020.106899 ↗

2. Integrating IoT with LQR-PID controller for online surveillance and control of flow and pressure in fluid transportation system

3. Multiple regression analysis for the prediction of extraction efficiency in mining industry with industrial IoT10.1007/s11740-020-00970-z ↗

4. Analysis and optimization on the biodegradable plate making process parameters using RSM-based Box–Behnken Design method10.1007/s10163-021-01290-9 ↗

5. An FPGA-based novel digital PWM control scheme for BLDC motor drives10.1109/TIE.2009.2022067 ↗

6. BLDC motor drive based on bridgeless landsman PFC converter with single sensor and reduced stress on power devices10.1109/TIA.2017.2740281 ↗

7. A novel microcontroller-based sensorless brushless DC (BLDC) motor drive for automotive fuel pumps10.1109/TIA.2003.818973 ↗

8. A neuro-fuzzy approach to automatic diagnosis and location of stator inter-turn faults in CSI-fed PM brushless DC motors10.1109/TEC.2005.847976 ↗

9. A reduced sensor PFC BL-Zeta converter based VSI fed BLDC motor drive10.1016/j.epsr.2013.01.006 ↗

10. An adjustable-speed PFC bridgeless buck–boost converter-fed BLDC motor drive10.1109/TIE.2013.2274424 ↗

11. Adaptive Neuro-Fuzzy Inference System based speed controller for brushless DC motor10.1016/j.neucom.2014.01.038 ↗

12. Solar photovoltaic array fed water pump driven by brushless DC motor using Landsman converter10.1049/iet-rpg.2015.0295 ↗

13. A metaheuristic optimization approach for tuning of fractional-order PID controller for speed control of sensorless BLDC motor10.1142/S0218126618501232 ↗

14. Analytical calculation of magnetic field and cogging torque in surface-mounted permanent-magnet machines accounting for any eccentric rotor shape

15. Wang, Y., and Xuhui, W. (2010, January 10–13). Analysis of multi-phase permanent magnet motors with concentrated non-overlapping stator windings. Proceedings of the 2010 International Conference on Electrical Machines and Systems, Incheon, Korea.

16. Sikora, A., Zielonka, A., and Woźniak, M. (2022). Minimization of Energy Losses in the BLDC Motor for Improved Control and Power Supply of the System under Static Load. Sensors, 22.10.3390/s22031058 ↗

17. Sikora, A., and Woźniak, M. (2021). Impact of Current Pulsation on BLDC Motor Parameters. Sensors, 21.10.3390/s21020587 ↗