Parameter tuning of modified active disturbance rejection control based on the particle swarm optimization algorithm for high-order system

Dongyang Zhang, Xiaolan Yao*, Qinghe Wu

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

In order to reduce the number and difficulty of parameters being set, a method based on an improved particle swarm optimization (PSO) algorithm which can be used to tune ADRC parameters accurately is proposed. Meanwhile, to decrease the number of parameters, we optimize the state observer by designing several second or third-order state observers with the same parameters in series according to the system order. In order to verify the effectiveness and veracity of the proposed method, it is used to tune third-order ADRC, fourth-order ADRC, fifth-order ADRC and sixth-order ADRC. Simulation results show that the proposed PSO-based modified ADRC controller makes controller tuning easier and more effective and has strong robustness and adaptability for use in systems with many uncertain factors.

Original languageEnglish
Title of host publicationAUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-294
Number of pages5
ISBN (Electronic)9781509010875
DOIs
Publication statusPublished - 17 Nov 2016
Event2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016 - Beijing, China
Duration: 10 Oct 201612 Oct 2016

Publication series

NameAUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems

Conference

Conference2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016
Country/TerritoryChina
CityBeijing
Period10/10/1612/10/16

Keywords

  • Modified Active disturbance rejection control (MADRC)
  • Parameter Optimization
  • Particle swarm optimization (PSO)
  • Simulation Analysis

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