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 language | English |
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Title of host publication | Mechatronics and Automation Technology - Proceedings of the 3rd International Conference, ICMAT 2024 |
Editors | Jinyang Xu |
Publisher | IOS Press BV |
Pages | 227-232 |
Number of pages | 6 |
ISBN (Electronic) | 9781643685649 |
DOIs | |
State | Published - 2024 |
Event | 3rd International Conference on Mechatronics and Automation Technology, ICMAT 2024 - Wuhan, China Duration: 25 Oct 2024 → 26 Oct 2024 |
Publication series
Name | Advances in Transdisciplinary Engineering |
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Volume | 64 |
ISSN (Print) | 2352-751X |
ISSN (Electronic) | 2352-7528 |
Conference
Conference | 3rd International Conference on Mechatronics and Automation Technology, ICMAT 2024 |
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Country/Territory | China |
City | Wuhan |
Period | 25/10/24 → 26/10/24 |
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