Particle Filter Based Speed Estimator for Speed Sensorless Control in Induction Motor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this research, speed sensorless control design for induction motors is done by using the Particle Filter algorithm (PF) as a speed estimator and Direct Torque Control (DTC) as a control scheme used to control the speed of an induction motor. For testing with a close loop control system, the test range is at speeds of 50 to 500 rpm, with a steady state error obtained less than 5%. Based on the value of the error obtained it can be said that the design of the speed sensorless control for the induction motor is running well, however at high speeds such as 350 and 500 rpm the results obtained have a high overshoot value and a long settling time.

Original languageEnglish
Title of host publication2020 3rd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2020
EditorsFerry Wahyu Wibowo
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages295-300
Number of pages6
ISBN (Electronic)9781728184067
DOIs
Publication statusPublished - 10 Dec 2020
Event3rd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2020 - Yogyakarta, Indonesia
Duration: 10 Dec 2020 → …

Publication series

Name2020 3rd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2020

Conference

Conference3rd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2020
Country/TerritoryIndonesia
CityYogyakarta
Period10/12/20 → …

Keywords

  • Direct Torque Control
  • Induction Motor
  • Particle Filter
  • Speed Estimator
  • Speed Sensorless Control

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