Carleton University
Memristor Based Gain-Varying PI Control for Erbium-Doped Fiber Amplifiers (EDFAs)
Abstract
dc:description.abstractIn this research, the focus is on Erbium-Doped Fiber Amplifiers (EDFAs), crucial components in optical communication systems. Traditional control systems face challenges in control complexity and cost-effectiveness. This research addresses this challenge by introducing a novel approach—incorporating memristor-based Proportional-Integral (PI) controllers. The methodology involves integrating memristor into a comprehensive EDFA control system simulation. The study conducts a comparative analysis between memristor-based PI controllers and traditional analog PI control systems, emphasizing simplicity, cost-effectiveness, and gain-varying control. Stability analysis, employing the Root Locus method, offers insights into the robustness of the memristor-based PI EDFA control system. The outcomes of this study provide a foundation for more efficient, and cost-effective EDFA control solutions. This research, therefore, not only addresses a specific technical challenge but also opens avenues for innovation in the broader landscape of optical communication systems.
Degree
thesis:*- Name thesis:degree_name
- Master of Applied Science (M.App.Sc.)
- Level thesis:degree_level
- Master's
- Discipline thesis:degree_discipline
- Engineering, Electrical and Computer
- Grantor dc:publisher
- Carleton University
- Year dc:date.issued
- 2024
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Zhao, Zhengyu
Rights
dc:rights- Statement dc:rights
-
- Copyright © 2024 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, distribution to students, research and scholarship. Theses may only be shared by linking to the Carleton University Institutional Repository and no part may be copied without proper attribution to the author; no part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:carleton.scholaris.ca:20.500.14718/41291