Sensor Less BLDC Motor Drive Using a Multi-Sector Space Vector PWM Method Based on Adaptive Network-Based Fuzzy Inference System

Authors

  • Ch. Vinay Kumar Assistant Professor Department of Electrical and Electronics Engineering Mahatma Gandhi Institute of Technology, Hyderabad
  • G. Madhusudhana Rao Professor Department of Electrical Engineering O. P. Jindal University, Raigarh, Chhattisgarh, India
  • A. Raghu Ram Professor Department of Electrical and Electronics Engineering, JNTUHCEH, Hyderabad

Keywords:

BLDC drive, MS-SVPWM, ANFIS control, MATLAB Simulink, RP2040 controller

Abstract

This article describes the process of developing a MS-SVPWM controls BLDC motor rotational speed. This innovative control approach improves BLDC efficiency at a variety of speeds and loads. Construction of the prototype around a brushless DC motor with 400 W of output power, 30 V of voltage, and 3000 rpm of rotational speed. The drive's unregulated rectifier supplies the necessary DC current to the inverter. The desired drive control is an MS-SVPWM scheme with ANFIS control. By contrasting the operation of conventional space vector PWM& with that of a multi-sector SV-PWM system, ANFIS controllers can choose the best drive sector & detect mismatched pulses. This unique switching control mechanism not only improves the efficiency of the BLDC system but also reduces the switching losses experienced by the inverter. This MS-SVPWM effectively reduces undesired distortions like THD, torque, & DC voltage ripple. To check the feasibility of the proposed system, MATLAB Simulink simulations are run. System simulation and experimental findings for the RP2040-controlled MS-hardware SVPWM are presented.

Downloads

Download data is not yet available.

References

Malla, S. G., Malla, P., Malla, J. M. R., Singla, R., Choudekar, P., Koilada, R., & Sahu, M. K. (2022). Whale optimization algorithm for PV based water pumping system driven by BLDC motor using sliding mode controller. IEEE Journal of Emerging and Selected Topics in Power Electronics, 10(4), 4832-4844.

Lins, A. W., & Krishnakumar, R. (2022). Tuning of PID controller for a PV-fed BLDC motor using PSO and TLBO algorithm. Applied Nanoscience, 1-24.

Kumar, N. S., Chandrasekaran, G., Thangavel, J., Priyadarshi, N., Bhaskar, M. S., Hussien, M. G., ... & Ali, M. M. (2022). A Novel Design Methodology and Numerical Simulation of BLDC Motor for Power Loss Reduction. Applied Sciences, 12(20), 10596.

Teoh, J. Y., & Yahya, J. A. F. (2022). Switching Scheme for Regenerative Braking Mode for BLDC Motor Driver. Evolution in Electrical and Electronic Engineering, 3(2), 801-807.

Chan, J. W. (2022). Sliding Mode Control of Brushless DC Motor Speed Control. Malaysian Journal of Science and Advanced Technology, 188-193.

Kommula, B. N., & Kota, V. R. (2022). An effective sustainable control of brushless DC motor using firefly algorithm–artificial neural network based FOPID controller. Sustainable Energy Technologies and Assessments, 52, 102097.

Ch.Vinay Kumar, A.Raghu Ram & G.Madhusudhana Rao (2022, December). Optimized Evaluation of Brushless DC Motor Drive System using Adaptive Neuro-Fuzzy, PSO & Inference of genetic Algorithm. Journal of Northeastern University, (pp 1348-1355)

Hameed, H. S. (2018, January). Brushless DC motor controller design using MATLAB applications. In 2018 1st International Scientific Conference of Engineering Sciences-3rd Scientific Conference of Engineering Science (ISCES) (pp. 44-49). IEEE.

Damodharan, P., Sandeep, R., & Vasudevan, K. (2008). Simple position sensorless starting method for brushless DC motor. IET Electric Power Applications, 2(1), 49-55.

Veni, K. K., Kumar, N. S., &Gnanavadivel, J. (2017, September). Low-cost fuzzy logic-based speed control of BLDC motor drives. In 2017 International Conference on Advances in Electrical Technology for Green Energy (ICAETGT) (pp. 7-12). IEEE.

Sreeram, K. (2018, March). Design of fuzzy logic controller for speed control of sensorless BLDC motor drive. In 2018 international conference on control, power, communication and computing technologies (ICCPCCT) (pp. 18-24). IEEE.

Satar, M. N. A., & Ishak, D. (2011, May). Application of Proteus VSM in modelling brushless DC motor drives. In 2011 4th International Conference on Mechatronics (ICOM) (pp. 1-7). IEEE.

Ch.Vinay Kumar, G.Madhusudhana rao, A.Raghu Ram, & Y.Prasanna Kumar (2022, July). Designing of Neuro-Fuzzy Controllers for Brushless DC Motor Drives Operating with Multiswitch Three-Phase Topology. Hindawi, Journal of Electrical and Computer Engineering(pp.1-12)

Vinayaka, K. U., & Priya, S. (2016, April). Analysis of BLDC motor performance using space vector pulse width modulation. In 2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC) (pp. 549-552). IEEE.

Viswanathan, V., &Jeevananthan, S. (2011). A Novel Current Controlled Space Vector Modulation based Control Scheme for Reducing Torque Ripple in Brushless DC Drives. International Journal of Computer Applications, 28(2), 25-31.

Gujjar, M. N., & Kumar, P. (2017, May). Comparative analysis of field-oriented control of BLDC motor using SPWM and SVPWM techniques. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 924-929). IEEE.

Singh, J., & Singh, M. (2016). Comparison and analysis of different techniques for speed control of brushless DC motor using matlabsimulink. International Journal of Engineering Trends and Technology-IJETT, 38(7), 373-379.

Ch.Vinay Kumar, A.Raghu Ram & G.Madhusudhana Rao (2022, December). Design and Development of Remora Optimization based Controller for Speed Management in Three-Phase Brushless DC Motor. NeuroQuantology Journal, (pp 1901-1923)

Santra, S. B., Chatterjee, A., Chatterjee, D., Padmanaban, S., & Bhattacharya, K. (2022). High efficiency operation of brushless dc motor drive using optimized harmonic minimization-based switching technique. IEEE Transactions on Industry Applications, 58(2), 2122-2133.

Mukherjee, A., Ray, S., & Das, A. (2014). Development of microcontroller-based speed control scheme of BLDC motor using proteus VSM software. International Journal of Electronics and Electrical Engineering, 2(1), 1-7.

John Prabu, M., Poongodi, P., & Premkumar, K. (2016). Fuzzy supervised online coactive neuro‐fuzzy inference system‐based rotor position control of brushless DC motor. IET Power Electronics, 9(11), 2229-2239.

Aspalli, M. S., Munshi, F. M., &Medegar, S. L. (2015, August). Speed control of BLDC motor with four switch three phase inverter using digital signal controller. In 2015 International Conference on Power and Advanced Control Engineering (ICPACE) (pp. 371-376). IEEE.

Chougale, R. G., &Lakade, C. R. (2017, September). Regenerative braking system of electric vehicle driven by brushless DC motor using fuzzy logic. In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (pp. 2167-2171). IEEE.

Karpagaraj, A., Edberk, J. A. S., Kannan, T. D. B., Rajendran, D. K., & Ramesh, T. (2022). Effect of GTAW process parameters on joining stainless steel 316L. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN MANUFACTURING ENGINEERING RESEARCH 2021: ICRAMER 2021. Presented at the PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN MANUFACTURING ENGINEERING RESEARCH 2021: ICRAMER 2021, Chennai, India. doi:10.1063/5.0095789

Vijetha, T., & Krishna, D. R. (2022, December 12). Dual band notch antenna for ultra wide band applications. 2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON). Presented at the 2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON), Bangalore, India. doi:10.1109/mapcon56011.2022.10046691

Agarwal, S. K., Ramesh, S. M., Kumar, A. A., Yadav, S., Nagalakshmi, M., & Singh, P. (2022, December 23). A microservices-based IoT applications in Edge computing environments. 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT). Presented at the 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), Dehradun, India. doi:10.1109/cisct55310.2022.10046492

Haritha, I. V. S. L., Harshini, M., Patil, S., & Philip, J. (2022, December 1). Real Time Object Detection using YOLO Algorithm. 2022 6th International Conference on Electronics, Communication and Aerospace Technology. Presented at the 2022 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India. doi:10.1109/iceca55336.2022.10009184

Haritha, I. V. S. L., Harshini, M., Patil, S., & Philip, J. (2022, December 1). Real Time Object Detection using YOLO Algorithm. 2022 6th International Conference on Electronics, Communication and Aerospace Technology. Presented at the 2022 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India. doi:10.1109/iceca55336.2022.10009184

Nagaraju Thatha, V., Srinivas Rao, A., Rajasekhar Reddy, N. V., & Silparaj, M. (2022, October 3). Application of Hyper parameter Optimization Algorithms using Big Data. 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT). Presented at the 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India. doi:10.1109/icccnt54827.2022.9984469

Srinivas Rao, K., Divakara Rao, D. V., Patel, I., Saikumar, K., & Vijendra Babu, D. (2023). Automatic Prediction and Identification of Smart Women Safety Wearable Device Using Dc-RFO-IoT. Journal of Information Technology Management, 15(Special Issue), 34-51.

Downloads

Published

05.12.2023

How to Cite

Kumar, C. V. ., Rao, G. M. ., & Ram, A. R. . (2023). Sensor Less BLDC Motor Drive Using a Multi-Sector Space Vector PWM Method Based on Adaptive Network-Based Fuzzy Inference System. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 07–19. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4017

Issue

Vol. 12 No. 7s (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.