| 研究生: |
梁定輝 Liang, Ding-Huei |
|---|---|
| 論文名稱: |
基於觀測器/卡爾曼濾波器鑑別法與模型預測控制法的線上容錯控制 Observer/Kalman Filter Identification Method and Model Predictive Control Approach-Based On-Line Fault-Tolerant Control |
| 指導教授: |
蔡聖鴻
Tsai, Sheng-Hong Jason |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電機工程學系 Department of Electrical Engineering |
| 論文出版年: | 2016 |
| 畢業學年度: | 104 |
| 語文別: | 英文 |
| 論文頁數: | 54 |
| 中文關鍵詞: | 輸入飽和限制 、觀測器/卡爾曼濾波器鑑別方法 、模型預測控制 、即時容錯控制 |
| 外文關鍵詞: | Input constraint, Observer/Kalman filter identification, Model predictive control, Fault-Tolerant control |
| 相關次數: | 點閱:142 下載:2 |
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在本論文中,針對某些實際的物理系統,因其輸入是不允許為負值,且輸入有其上下限制,故本文提出一個修改版的線上觀測器/卡爾曼濾波器鑑別方法,利用此方法鑑別出其系統參數。然後針對這樣的隨機系統,利用模型預測控制軌跡追蹤器,滿足有輸入的限制,並且在有輸入限制時具有容錯的特性。
In this thesis, inputs are not allowed to be negative for some physical systems, so we propose improved on-line observer/Kalman filter identification (OKID) method for unknown stochastic systems. Besides, we use the model predictive control tracker for unknown system. It satisfies input constraint and fault-Tolerant.
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