Memristor Based Gain-Scheduling Controller for Erbium-Doped Fiber Amplifiers

Incorporating memristors into the control systems of Erbium-Doped Fiber Amplifiers (EDFA) plays a crucial role in bridging the gap between dynamic and static gain control, offering a more responsive solution that optimizes EDFA across various operating situations. This flexibility is well-suited for the evolving needs of optical communication networks, where quick adjustments are often essential. Our study has offered important perspectives on the application of memristor-based EDFA control systems for improving efficiency. Through comparative simulations, it was observed that PI controllers based on memristor outperform traditional analog PI controllers due to their adaptability, which results in faster response times within the typical operating power range. The unique ability of memristor to modulate resistance according to historical voltage proved to be an effective method for implementing real-time adjustment of integral parameters and gain-scheduling control. Stability analysis using Root Locus methods confirmed that memristor- based PI controllers maintain robust stability even as memristor resistance varies. Ultimately, our results emphasize the promising capability of the control systems integrated with memristor to revolutionize EDFA regulation, enhancing flexibility, stability, and responsiveness.

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Published
2024-10-17
DOI
https://doi.org/10.1109/aiotsys63104.2024.10780644
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.21
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article

Memristor Based Gain-Scheduling Controller for Erbium-Doped Fiber Amplifiers

Zhengyu Zhao, Pengcheng Chen, Shichao Liu, Guohui Zhu
1 citations
Advanced Memory and Neural Computing
0.21
article

Memristor Based Gain-Scheduling Controller for Erbium-Doped Fiber Amplifiers

Zhengyu Zhao, Pengcheng Chen, Shichao Liu, Guohui Zhu
article en
1 citations

Abstract

Incorporating memristors into the control systems of Erbium-Doped Fiber Amplifiers (EDFA) plays a crucial role in bridging the gap between dynamic and static gain control, offering a more responsive solution that optimizes EDFA across various operating situations. This flexibility is well-suited for the evolving needs of optical communication networks, where quick adjustments are often essential. Our study has offered important perspectives on the application of memristor-based EDFA control systems for improving efficiency. Through comparative simulations, it was observed that PI controllers based on memristor outperform traditional analog PI controllers due to their adaptability, which results in faster response times within the typical operating power range. The unique ability of memristor to modulate resistance according to historical voltage proved to be an effective method for implementing real-time adjustment of integral parameters and gain-scheduling control. Stability analysis using Root Locus methods confirmed that memristor- based PI controllers maintain robust stability even as memristor resistance varies. Ultimately, our results emphasize the promising capability of the control systems integrated with memristor to revolutionize EDFA regulation, enhancing flexibility, stability, and responsiveness.

Chifeng University (CN), Carleton University (CA)
Affordable and clean energy
Openalex Percentile: Top 45%
Advanced Memory and Neural Computing
0.21
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Memristor Based Gain-Scheduling Controller for Erbium-Doped Fiber Amplifiers — Zhengyu Zhao, Pengcheng Chen, et al. · (2024) | TGRS Research Map | TGRS