Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/27907| Title: | A Comparison of PI and RBF Brushless DC Motor Speed Control Methods |
| Authors: | Farrag, M Lai, CS Darwish, M |
| Keywords: | brushless DC motor;PI controller;RBF;speed response |
| Issue Date: | 30-Aug-2023 |
| Publisher: | IEEE |
| Citation: | Farrag, M., Lai, C.S. and Darwish, M. (2023) 'A Comparison of PI and RBF Brushless DC Motor Speed Control Methods', 58th International Universities Power Engineering Conference, UPEC 2023, Dublin, Ireland, 30 Aug.-1 Sep., pp. 1 - 5. doi: 10.1109/UPEC57427.2023.10294765. |
| Abstract: | Brushless Direct Current (BLDC) motors are widely used in electromobility and industrial robots. BLDC motors are essential in many production applications. However, they encounter significant challenges when it comes to executing control of speed. Due to their simplicity, speed controllers are often designed using Proportional Integral (PI) regulation. The saturation of standard PI control makes the system unreliable, hence an online radial basis function (RBF) neural network is proposed. The paper compares and evaluates the speed response of two regulators under a reference speed of 3000 RPM. The purpose is to examine and contrast the performance of these regulators in regulating the speed of the system. In comparison to the traditional PI controller, the presented controller demonstrates superior characteristics such as lower overshoot, improved response speed and greater anti-disturbance capability. The studies are conducted in MATLAB/Simulink. |
| URI: | https://bura.brunel.ac.uk/handle/2438/27907 |
| DOI: | https://doi.org/10.1109/UPEC57427.2023.10294765 |
| ISBN: | 979-8-3503-1683-4 (ebk) |
| ISSN: | 979-8-3503-1684-1 (PoD) |
| Other Identifiers: | ORCID iD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 ORCID iD: Mohamed Darwish https://orcid.org/0000-0002-9495-861X |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works (see: https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/). | 1.22 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.