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| 研究生： |
黃映齊 Huang, Ying-Chi |
|---|---|
| 論文名稱： |
應用於空對地微波通訊鏈路動態追蹤之預測型自適應控制系統 A Predictive Neural-Fuzzy Inference Control System for Dynamic Antenna Tracking in Air-Ground Microwave Air-Bridge Alignment |
| 指導教授： |
林清一
Lin, Chin-E. |
| 學位類別： |
博士 Doctor |
| 系所名稱： |
工學院 - 航空太空工程學系 Department of Aeronautics & Astronautics |
| 論文出版年： | 2015 |
| 畢業學年度： | 103 |
| 語文別： | 英文 |
| 論文頁數： | 152 |
| 中文關鍵詞： | 自適應類神經模糊控制器 、天線追蹤系統 、微波通訊 |
| 外文關鍵詞： | ANFIS, Prediction Control, Antenna Tracking Platform |
| 相關次數： | 點閱：91 下載：3 |
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在與遠距離移動端的無線通信應用上，指向性天線(Directional Antenna)與追蹤平台的搭配是最常見的組合方案。 根據使用頻段的差異， 高頻段的通信鏈路所需要的指向準確度也隨之提高。 在本研究中我們建立一套利用低空飛行平台(Low Altitude Flying Platform， LAFP)搭載行動通信基地台(Base Transceiver Station， BTS)與地面追蹤平台組成的3維行動空中網路系統。 此系統設計應用於天然或是人為災害發生時， 低空飛行平台可以進入山區或是受阻隔的區域， 對受到電力中斷或是硬體損害而無法使用行動通信服務的區域進行通信鏈路的橋接。
為保持系統鏈路與中華電信系統的相容性，在機載基地台(Airborne BTS)與地面後端網路(Backhaul Network)此段無線鏈路採用5.8GHz的微波頻段進行中繼。此外，為了維持空中微波橋接(Microwave Air-Bridge， MAB)的穩定性，本研究提出一個基於雙輸入單輸出類神經控制器的改良式類神經自適應控制策略，應用於步進馬達驅動的地面追蹤平台針對不同飛行特性的低空飛行平台進行持續且準確的追蹤控制。 有別於常見的控制誤差與誤差變化率作為類神經訓練的輸入，本研究針對定翼機飛行平台的連續(非布朗運動)軌跡飛行特性進行追蹤控制修改，只保留追蹤誤差作為神經元訓練輸入，另一輸入則以切線/徑向速率作為參考，藉此達到平滑追蹤能力。
步進馬達擁有高精準度與快速響應的特性，在搭配驅動電路的使用下，除了傳統的全步進與半步進之外，更有多種級距的微步進可供控制器選擇。 在此系統架構下，本研究利用提出的控制策略針對步進馬達的單位步進級距經過類神經演算法因應當下的誤差與平台飛行速率輸入變量，做出有利於誤差最小化的單位步進級距決策。整體的測試經由低空飛行平台搭載微波通信模組後進行飛行實測。 根據飛行任務中系統頻寬，誤碼率(Bit Error Rate， BER)與向量誤差等數據對本研究提出的控制策略進行驗證。
This dissertation presents a Predictive and Adaptive Neural-Fuzzy Inference System (PANFIS). The controller is implemented on a dual-axis rotation platform for directional antenna tracking. Remote side is a Low-Altitude Flying Platform (LAFP) carried with airborne e-Cell Base Transceiver Station (BTS) and microwave transceiver. In order to establish a reliable and steady Microwave Air-Bridging (MAB) link for signal relay, the accurate tracking mechanism is required. Two of the major improvement is proposed in this dissertation. The rule formation layer of conventional ANFIS is modified for shorter training period and output decision coherence. Prediction functionality of controller is implemented with the demand to eliminate tracking overshoot and steady error. The flight test verifies the different tracking scenario and integrity of proposed controller. Compared with the conventional ANFIS controller, the proposed method provides the better tracking performance and higher MAB quality for mobile signal relay mission.
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校內：2020-07-16公開校外：2020-07-16公開