查詢結果分析
來源資料
相關文獻
- Gain Adaptation of Fuzzy Controller Design
- Adaptive Mamdani Model-based Fuzzy Control for Nonlinear Systems
- 模糊理論在時間延遲系統上之研究
- 規則庫控制法在混合式隔振系統之應用
- An Efficient Membership Function Representation for High-resolution Fuzzy Systems
- Redundant Fuzzy Sets of the Easy-T Type Fuzzy Controllers
- Relationship Analyses of Defuzzification Methods Based on the Equivalent Designs of Fuzzy Controllers
- 利用模糊理論控制鋼球定位
- Research and Application of Fuzzy Sets Theory on Manufacturing Process
- 用於R2R控制系統之模糊控制器設計
頁籤選單縮合
題名 | Gain Adaptation of Fuzzy Controller Design=增益調整之模糊控制器設計 |
---|---|
作者 | 陳珍源; 蔡樸生; Chen, Jen-yang; Tsai, Pu-sheng; |
期刊 | 中華技術學院學報 |
出版日期 | 20030500 |
卷期 | 27 2003.05[民92.05] |
頁次 | 頁83-93 |
分類號 | 448.942 |
語文 | eng |
關鍵詞 | 模糊控制; 模糊集合; 歸屬函數; 調適性增益; 適應性模糊控制; Fuzzy control; Fuzzy sets; Membership functions; Scaling gain; Adaptive fuzzy control; |
中文摘要 | 本文針對TSK(Takagi-Sugeno-Kang)模糊系統提出一基於線上增益調節之適應性控制器設計,其中適應律設計係採直接式架構,以產生適當的控制信號。所提方法之主要優點是:在此適應性控制架構下,不但原TSK模糊系統的推論法則及歸屬函數無須更動外,且僅需調適單一參數。一般而言,當模糊控制器之輸入變數量大時,在未引入專家知識的情況下,很難描述口語化型式的模糊控制法則及其相關之歸屬函數分佈。本研究,首先即在未引入任何關於受控系統之經驗知識下,建構了一個TSK模糊控制器。然後藉由所提之適應律機構對此控制器的輸出作線上增益調節,以獲得令人滿意的閉迴路性能。最後,以一個非線性系統之適應性模糊控制為例,來驗證所提方法之可行性。 |
英文摘要 | This paper proposes a Takagi-Sugeno-Kang (TSK) fuzzy controller design using scaling gain adaptation. The proposed adaptation law for the TSK fuzzy controller resulting from the direct adaptive approach is used to appropriately determine the control signal of the controller. The primary advantage of the proposed method is that the parameters of the fuzzy controller, including its rules and membership functions; do not need to be changed under control, particularly when only one adapted parameter is used. Usually, it is not easy to characterize the linguistic control rules and the membership function distribution without expert knowledge when the number of input variables of fuzzy controller is large. In this study, we first organize the TSK fuzzy controller without any specific experience information about the controlled system. Then, the proposed adaptation law is used to adapt the controller's output scaling gain so that the satisfactory system performance of the closed-loop control system can be achieved. Finally, we use the proposed fuzzy controllers to control a nonlinear system, verifying its effectiveness. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。