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ToolsAbdi Jalebi, Salman, Hosseini Sabzevari, Seyed Iman and Chulaee, Yaser (2020) Analysis and Modification of a Particle Filter Algorithm for Sensorless Control of BLDC Machine. In: International Conference on Electrical Machines (ICEM), 2020-08-23.
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Abstract
This paper investigates the performance of a newly developed particle filter (PF) algorithm for sensorless control of the Brushless DC (BLDC) machines. A number of modifications have also been incorporated to the proposed PF algorithm in order to improve its performance with respect to resampling process and robust operation when unpredicted disturbances are occurred. The disturbances investigated in this paper include the presence of unconventional Non-Gaussian noises, changes in machine’s parameters, and occurrence of inter-turn short circuit fault. In addition, the paper proposes several measures in order to improve the estimation accuracy of the filter and enhance the filter robustness against system uncertainties. In order to evaluate the performance of the PF algorithm, the sensorless control system of a 1.5 kW BLDC machine is simulated in MATLAB/Simulink environment. Simulation results show that the introduced techniques considerably improve the performance of the PF algorithm as state estimator.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | brushless dc (bldc) machine,inter-turn short circuit fault,particle filter,resampling process,sensorless drives,electrical and electronic engineering,mechanical engineering ,/dk/atira/pure/subjectarea/asjc/2200/2208 |
| Faculty \ School: | Faculty of Science > School of Engineering (former - to 2024) |
| UEA Research Groups: | Faculty of Science > Research Groups > Sustainable Energy |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 29 Jan 2021 01:06 |
| Last Modified: | 07 Nov 2024 12:31 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/78324 |
| DOI: | 10.1109/ICEM49940.2020.9270860 |
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