Real-Time Assessment of a Single Neuron PID Combined with a PD Feedforward Controller Using a Quadrotor System

Fadi Alyoussef*, Ayman M. Abdallah

*Corresponding author for this work

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

Abstract

Following fast-changing trajectories and rejecting harsh disturbances might be essential control requirements in drone applications. However, these requirements cannot be achieved using traditional PID controllers. Thus, a single- neuron PID combined with PD feedforward control is proposed to accomplish these control goals. Also, a real-time application using a quadrotor system is considered for testing the proposed controller. Real-time results and control performance measures in the form of the integral absolute error show that the proposed scheme, relative to the single neuron PID alone, significantly reduces the tracking error and provides faster disturbance rejection.

Original languageEnglish
Title of host publicationMechatronics and Automation Technology - Proceedings of the 3rd International Conference, ICMAT 2024
EditorsJinyang Xu
PublisherIOS Press BV
Pages227-232
Number of pages6
ISBN (Electronic)9781643685649
DOIs
StatePublished - 2024
Event3rd International Conference on Mechatronics and Automation Technology, ICMAT 2024 - Wuhan, China
Duration: 25 Oct 202426 Oct 2024

Publication series

NameAdvances in Transdisciplinary Engineering
Volume64
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528

Conference

Conference3rd International Conference on Mechatronics and Automation Technology, ICMAT 2024
Country/TerritoryChina
CityWuhan
Period25/10/2426/10/24

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

Keywords

  • feedforward control
  • quadrotor
  • Single neuron PID

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Software
  • Algebra and Number Theory
  • Strategy and Management

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