| Project/Area Number |
26286086
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Partial Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Computational science
|
|---|
| Research Institution | The University of Electro-Communications |
|---|
Principal Investigator |
Tanaka Hisaaki 電気通信大学, 大学院情報理工学研究科, 准教授 (20334584)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
徳田 功 立命館大学, 理工学部, 教授 (00261389)
関屋 大雄 千葉大学, 大学院工学研究院, 教授 (20334203)
福田 弘和 大阪府立大学, 工学(系)研究科(研究院), 准教授 (90405358)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
KARASAWA Yoshio 電気通信大学, 大学院情報理工学研究科, 教授 (40313407)
HONJO Kazuhiko 電気通信大学, 大学院情報理工学研究科, 教授 (90334573)
MIZUGAKI Yoshinao 電気通信大学, 大学院情報理工学研究科, 教授 (30280887)
|
|---|
| Project Period (FY) |
2014-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥11,960,000 (Direct Cost: ¥9,200,000、Indirect Cost: ¥2,760,000)
Fiscal Year 2017: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2016: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2015: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2014: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
|
|---|
| Keywords | 非線形最適化 / 注入同期 / マイクロエレクトロニクス |
|---|
| Outline of Final Research Achievements |
Injection-locking of nonlinear oscillators to an external periodic forcing is a fundamental phenomenon which adjusts their frequencies to that of an external forcing. Such injection-locking enables to stabilize the frequency of the oscillator, and it has a long history and produces a large variety of applications. In our research, we develop a method for maximizing the frequency range of an external forcing sustaining the injection-locked mode (i.e., locking range or synchronization band), based on our newly developed optimization theory. As a case study of optimizing synchronizability, we design the input waveforms that maximize locking ranges in an injection-locked Class-E oscillator, by using our optimization theory. Further, we verify the optimality of these inputs through systematic numerical calculations and experiments.
|
