Analysis and Modification of a Particle Filter Algorithm for Sensorless Control of BLDC Machine

Salman Abdi Jalebi, Seyed Iman Hosseini Sabzevari, Yaser Chulaee

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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.
Original languageEnglish
Pages1067-1073
Number of pages7
DOIs
Publication statusPublished - 1 Dec 2020
EventInternational Conference on Electrical Machines (ICEM) - Gothenburg, Sweden
Duration: 23 Aug 2020 → …

Conference

ConferenceInternational Conference on Electrical Machines (ICEM)
CountrySweden
CityGothenburg
Period23/08/20 → …

Keywords

  • Brushless DC (BLDC) Machine
  • Inter-turn Short Circuit Fault
  • Particle Filter
  • Resampling Process
  • Sensorless Drives

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