Control system hardware design and experimental analysis

<p>Position sensors, which monitor the voltage or current generated at a specific spatial point while the<br>motor rotor is rotating, are not necessary for the construction of brushless DC motors. By altering the<br>motor's speed, phase lag may be reduced as it fluctuates with it. For a complex system like a multicopter, reinforcement learning neural networks are recommended as an efficient PID controller gain<br>auto-tuning method.</p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-20
DOI
https://doi.org/10.53414/uijes:2022.4.04
Primary Topic
Child and Adolescent Psychosocial and Emotional Development
Type
article
Field-Weighted Citation Impact
0.00
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article

Control system hardware design and experimental analysis

Zenodo (CERN European Organization for Nuclear Research)
Child and Adolescent Psychosocial and Emotional Development
article

Control system hardware design and experimental analysis

article en

Abstract

<p>Position sensors, which monitor the voltage or current generated at a specific spatial point while the<br>motor rotor is rotating, are not necessary for the construction of brushless DC motors. By altering the<br>motor's speed, phase lag may be reduced as it fluctuates with it. For a complex system like a multicopter, reinforcement learning neural networks are recommended as an efficient PID controller gain<br>auto-tuning method.</p>

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 49%
Child and Adolescent Psychosocial and Emotional Development
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Control system hardware design and experimental analysis · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS