Speed control of BLDC motor with neural controller

Lokesh Kumar Agrawal; Bhavesh Kumar Chauhan; Nitin Kumar Saxena; Puneet Joshi

doi:10.17485/IJST/v14i4.2164

Article

Speed control of BLDC motor with neural controller

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v14i4.2164

Year: 2021, Volume: 14, Issue: 4, Pages: 373-381

Original Article

Speed control of BLDC motor with neural controller

Lokesh Kumar Agrawal^1*, Bhavesh Kumar Chauhan², Nitin Kumar Saxena³,Puneet Joshi⁴

¹Research Scholar, Department of Electrical Engineering, IFTM University, Moradabad, India
²Professor, Department of Electrical Engineering, BBDNITM, Lucknow, India
³Associate Professor, Department of Electrical & Electronics Engineering, KIET Group of Institutions, Ghaziabad, India
⁴Assistant Professor, Department of Electrical Engineering, REC, Ambedkarnagar, India

*Corresponding Author
Email: [email protected]

Received Date:01 December 2020, Accepted Date:20 January 2021, Published Date:02 February 2021

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

Abstract

Objective: BLDC motor specifically used for high speed applications and needs sophisticated speed control. Conventional controls techniques require more physical involvement for assisting BLDC motor to operate with precise speed value. However, soft tuning based controller may give comparatively better results for that and the same has been elaborated in present paper using neural controller of speed as per requirements.the main objective of this study may be summarized as (i) MATLAB simulink model for BLDC motor incorporated with soft tuned controller and inverter simultaneously, (ii) development of neural controller for BLDC motor control, and (iii) validation of results developed through proposed controller with the available results using PI, PID and fuzzy logic controller. Methods: The speed obtained through simulink model with input supply voltage variations are used as a reference signal for the training and testing purpose of neural controller. With the help of these reference signals, neural control executes and gives optimum values of external parameters such as speed and electromagnetic torque. Result: The study outcome provides dynamic execution of proposed controllerbased on neural network. The proposed controller’s results are validated with the reference results obtained mathematically for the system. The controller efficiency and sensitivity has been checked by MATLAB-Simulink software. Novelty: comparative study for mathematically obtained reference values and neural controller based results are proposed in this paper. The results are validated with the help of Matlab produces tables and figures.

Keywords: BLDC Motor; speed control; neural network controller

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Copyright

© 2021 Agrawal et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)