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Design, modeling and tuning of modified PID controller for autopilot in MAVs

  • Xu Hui Chen
  • , Ejaz Ul Haq
  • , Jiawei Lin

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

5 Scopus citations

Abstract

The dangers of poor pilot performance as well as time and place conditions, low altitude and climate, damage critical aircraft control system. The use of Unmanned Aircraft Vehicle or (UAV) in sensitive and important Operation is required and there is a need for autopilot that can tune the MAV in different environment conditions. Furthermore, designing the controller system is one of the main discussed Dynamic issues in Flying Objects. In this paper an attempted is made to determine the optimal coefficients of PID controller that can reject disturbances and still operate the MAV in stable positions. Basic PID controller is designed and is adopted to control the MAV, a modified techniques incorporating ISA-PID is designed to reject disturbances. The PID parameters are determined to be reduce the rise time less than 3 seconds, settling time to be less than 8 seconds and overshoot to be less than 5%. The developed model is suitable for PID controller in autopilot.

Original languageEnglish
Title of host publication2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016
EditorsYihai Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages475-480
Number of pages6
ISBN (Electronic)9781509022397
DOIs
StatePublished - 18 Jul 2016
Externally publishedYes
Event17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016 - Shanghai, China
Duration: 30 May 20161 Jun 2016

Publication series

Name2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016

Conference

Conference17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016
Country/TerritoryChina
CityShanghai
Period30/05/161/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • ISA-PID
  • MAV
  • PID controller
  • Unmanned Aircraft Vehicle
  • autopilot

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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