Adaptive Neural Network Tuned PID Controller for Low-Power DFB Laser

Gendi Zhou; Minglun Zhang; Youyuan Sun

Asia Communications and Photonics Conference (ACP) 2018
OSA Technical Digest (Optica Publishing Group, 2018),
paper Su2A.260

Adaptive Neural Network Tuned PID Controller for Low-Power DFB Laser

Gendi Zhou, Minglun Zhang, and Youyuan Sun

Asia Communications and Photonics Conference 2018

Hangzhou China
26–29 October 2018
ISBN: 978-1-5386-6158-1

From the session
Poster Session (Su2A)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
G. Zhou, M. Zhang, and Y. Sun, "Adaptive Neural Network Tuned PID Controller for Low-Power DFB Laser," in Asia Communications and Photonics Conference (ACP) 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Su2A.260.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Save article

Abstract

We designed an adaptive neural network tuned PID controller to maintain the instability of the DFB laser’s power (800uW) within ± 0.0014 dB for 15 minutes and ± 0.009 dB for 9 hours.

PDF Article

More Like This

Design of a Digital PID with High Bandwidth for Locking DFB Laser to an Absorption line of CH4

Hervé Tatenguem, Christian Aßmann, Sebastian Schmidtmann, Morten Hoppe, Martin Honsberg, and Joachim Sacher
JW2A.72 CLEO: Applications and Technology (CLEO:A&T) 2023

Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks

Maria Freire, Sebastien Mansfeld, Djamel Amar, Franck Gillet, Antoine Lavignotte, and Catherine Lepers
Su3C.7 Asia Communications and Photonics Conference (ACP) 2018

Auto-Tuning PID controller based on Genetic Algorithms for the Bandwidth Allocation in LR-PONs

Tamara Jiménez, Noemí Merayo, Ramón J. Durán, Patricia Fernández, Ignacio de Miguel, Juan C. Aguado, Rubén M. Lorenzo, and Evaristo J. Abril
AW2A.2 Access Networks and In-house Communications (ANIC) 2012

Previous Article Next Article