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姓名 鍾誠倫(Cheng-Lun Chung) 查詢紙本館藏 畢業系所 通訊工程學系在職專班 論文名稱 使用ANFIS之時間及頻率備援系統
(A backup system for time and frequency calibration based on ANFIS)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 在新世代的無線網路中,高精準度、高穩定性的頻率及時間將是不可或缺的關鍵要素。本論文採用調適性類神經模糊推論系統(ANFIS)為基礎,來建置時間及頻率備援系統。本系統有2種運作模式:一般模式(Normal Mode)及繼任模式(Holdover Mode)。在一般模式下,以高精準度銫原子鐘(Cesium Clock)之頻率為校準基礎,透過模糊推論控制器(Fuzzy Controller)來校正恆溫石英晶體震盪器(OCXO),並記錄毎秒的控制量。當銫原子鐘無法正常運作時,繼任模式將會使用ANFIS的預測來接管系統,使用ANFIS分析資料庫之數據來預測下一秒控制量,並經由數位類比轉換器提供電壓加以控制,以延長OCXO之精準度。實驗結果顯示,一般模式下的OCXO精準度由10-9改善到10-13;繼任模式中之效能則可維持到10-12。本研究之系統可適用於電信、量測、儀器、控制、航運、電力系統及各種各樣的應用。 摘要(英) Accuracy and stability are two essential issues of frequency and time in the new generation wireless networking. A backup system for time and frequency calibration based on adaptive neural-fuzzy inference system (ANFIS) is presented in this paper. The System has two kinds of operation way: normal mode and holdover mode. In normal mode, an oven-controlled crystal oscillator (OCXO) is steered by using fuzzy controller to synchronize with the primary cesium atomic clock, and recorded the control amount of per second. While the primary cesium atomic clock cannot operate correctly, a holdover mode operation which utilizes an ANFIS predictor will takes over the system. In particular, the ANFIS is applied to analyze datum of the database for predicting the controlling amount of the next second when the system enters holdover mode. Experimental results show that the frequency stability of the OCXO can be improved from a few parts in 10-9 to 10-13 for averaging times, as well as the performance could be maintained within a few parts in 10-12 in the holdover mode. The system of this research is applicable to telecommunication, measurement, instrumentation, control systems, navigations, power systems, and in numerous other applications. 關鍵字(中) ★ 調適性類神經模糊推論系統
★ 銫原子鐘
★ 繼任模式關鍵字(英) ★ Cesium Clock
★ Holdover Mode
★ ANFIS論文目次 中文摘要 i
ABSTRACT ii
目錄 iii
圖目錄 vi
表目錄 viii
第一章 緒論 1
1-1前言 1
1-2相關知識 2
1-2-1震盪器與時鐘 2
1-2-2時間與頻率同步 3
1-2-3頻率量測 3
1-3研究動機與目的 4
1-4系統架構 5
1-5各章概述 6
第二章 時頻校準控制器設計 8
2-1控制系統概述 8
2-2 PID控制器簡述 9
2-3線性微調控制器設計 11
2-4模糊控制器設計 12
2-4-1模糊理論 12
2-4-2模糊推論系統 14
2-4-3軟體應用設計 18
第三章 ANFIS備援系統控制器設計 21
3-1簡介 21
3-2 ANFIS架構 22
3-2-1系統架構 22
3-2-2學習演算法 25
3-3 ANFIS控制器設計 27
3-3-1 MATLAB相關語法簡介 27
3-3-2設計方式 30
第四章 實驗成果及討論 33
4-1設備控制與介紹 33
4-2系統流程 39
4-3一般模式下控制器改善效能 40
4-3-1 Linear Controller效能 40
4-3-2 Fuzzy Controller效能 41
4-4繼任模式下ANFIS預測成果及效能 42
4-4-1 ANFIS Controller直接預測法 43
4-4-2 ANFIS Controller關聯式預測法 44
4-5結果討論 46
第五章 結論 48
5-1結果討論 48
5-2未來展望 48
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