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Uncertain Parameters Performance Evaluation Method for Aviation Electromechanical Actuators

  • Beihang University

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

Abstract

Electromechanical actuator (EMA) is a servo mechanism that controls the flight vehicle in the aerospace field and it has the main advantages of high operating efficiency and easy maintenance. At present, most EMA performance simulation analysis are based on deterministic parameters. In fact, as the working environment and operating conditions change, some inner parameters may be changed and become uncertainly. In this paper, a novel method of EMA performance based on uncertain parameters is proposed to solve the problem that the existing deterministic models are difficult to evaluate the actual performance of EMA. Firstly, a deterministic model is built on the AMESim simulation platform. Then, the probability analysis software NESSUS was used to consider the uncertainty of parameters, and the co-simulation model was established. Finally, the influence of parameter fluctuation on EMA system performance is studied by using this method. Simulation results verify the correctness of the proposed method. Compared with the traditional simulation method based on parameter determination, the model built by this method has higher precision, and the simulation results are closer to the real EMA prototype.

Original languageEnglish
Title of host publicationThe Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology APISAT 2021, Volume 2
EditorsSangchul Lee, Cheolheui Han, Jeong-Yeol Choi, Seungkeun Kim, Jeong Ho Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages733-744
Number of pages12
ISBN (Print)9789811926341
DOIs
StatePublished - 2023
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021 - Virtual, Online
Duration: 15 Nov 202117 Nov 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume913
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021
CityVirtual, Online
Period15/11/2117/11/21

Keywords

  • AMESim
  • Co-simulation
  • EMA
  • NESSUS
  • Parameter uncertainty
  • Performance analysis

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