請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63185完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張森富 | |
| dc.contributor.author | Kuan-Ting Chen | en |
| dc.contributor.author | 陳冠廷 | zh_TW |
| dc.date.accessioned | 2021-06-16T16:26:57Z | - |
| dc.date.available | 2016-02-01 | |
| dc.date.copyright | 2013-02-01 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-01-18 | |
| dc.identifier.citation | [1] 王文俊。1997。認識 Fuzzy。第二版。台北:全華科技圖書出版社。
[2] 杜岳庭。2008。泡茶機自動控制裝置之研發。碩士論文。國立臺灣大學生物產 業機電研究所。 [3] 許世豪。2003。孵蛋器的製作。碩士論文。國立成功大學電機工程研究所。 [4] 孫正華。1992。感測器的應用電路的設計與製作。初版。 台北:全華科技圖書出版社。 [5] 張宗益。2006。汽車用恆溫空調系統中車房熱模型的塑模與模擬。碩士論文。 國立臺灣科技大學電機工程研究所。 [6] 賴建成。2006。應用模糊邏輯理論於公路隧道通風系統空氣品質控制之模擬研 究。碩士論文。國立臺灣科技大學自動化及控制研究所。 [7] Azat, A. K. M., A. Otieno, O. Ghrayeb, and N. Anand. 2003. Internet based experiments for physical laboratory set-up, in “Proc American Society for Engineering Edu Annual Conference and Exposition, pp. 22-25. USA. [8] Chen, P. H., J. H. Lai, and C. T. Lin. 1998. Application of Fuzzy Control to a Road Tunnel Ventilation System. Fuzzy Sets and Systems. 100:9-28. [9] Hagras, H. A. 2004. A Hierarchical Type-2 Fuzzy Logic ControlArchitecture for Autonomous Mobile Robots. IEEE Transactions on Fuzzy Systems. 12(4): 524-539. [10] Hamdi, M., and G. A. Lachiver. 1998. Fuzzy control system based on thehuman sensation of thermal comfort. In “IEEE Conference on Fuzzy Systems”, pp. 487-492. Alaska. [11] Kwon, Y. D., J. M. Won, and J. S. Lee. 1998. Control of Mobile Robot by using Evolutionary Fuzzy Controller. In “IEEE International Conference on Evolutionary Computation”, pp. 422-427. South Korea. [12] Phokharatkual, P. and S. Phaiboon. 2004. Mobile Robot Control Using Type-2 Fuzzy Logic System. In “IEEE Conference on Robotics Automation and Mechatronics”, pp. 296-299. Singapore. [13] Wang, L. X., and J. M. Mendel. 1992 . Fuzzy Basis Functions, Universal Approximation, and Orthogonal Least Squares Learning. IEEE Transactions on Neural Networks. 3(5): 807-814. [14] Wang, C. H., W. Y. Wang, T. T. Lee, and P. S. Tseng. 1995. Fuzzy B-spline Membership Function (BMF) and Its Applications in Fuzzy-Neural Control. IEEE Transactions on Systems, Man, and Cybernetics. 25(5):841-851. [15] Wang, L. X. 1994. Adaptive fuzzy systems and control: design and stability analysis. 1st ed. Englewood Cliffs, New Jersey, USA: Prentice-Hall. [16] Zadeh, L. A. 1965. Fuzzy sets. Information and Control. 8: 338-353. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63185 | - |
| dc.description.abstract | 本研究對於環境監測控制系統，採用單晶片微處理器為主的控制，透過藍芽模組技術，個人電腦端則透過視訊培基語言程式撰寫，以達成遠距環境監測控制目的。
提出以模糊控制實現於環境監測控制系統，模糊控制的特點是利用建立出的模糊規則，以取代建構困難的數學模型，進而達成環境溫度之非線性控制，對於模糊控制系統參數的調整方式，是透過最速下降法來調整控制器的權重值，以使自動檢測系統中使溫度的控制可以根據模糊規則自動調整至恆溫。 | zh_TW |
| dc.description.abstract | This study intends to achieve far-distance environmental surveillance in environmental temperature and monitoring control systems through the use of a single chip control device, Bluetooth module technology, and Visual Basic.
In achieving this goal, this project employs fuzzy control in environmental temperature and monitoring control systems. The advantage of fuzzy control is its ability to use fuzzy rules as replacements for complex mathematical models. In this way, fuzzy control can attain nonlinear control. it will include the steepest descent method in handling the adjustment of the fuzzy control system’s parameters and weights. In this manner, the environmental control can rely on the fuzzy rules to automatically adjust itself, reaching an equilibrium in temperature. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T16:26:57Z (GMT). No. of bitstreams: 1 ntu-102-R95631039-1.pdf: 1699576 bytes, checksum: 88156ec32c64fbce8ff413c09c6a9e18 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 致謝 ..............................ii
摘要 ..............................iii Abstract ..............................iv 圖目錄 ..............................vii 表目錄 ..............................x 第1章 前言 .....................1 1.1研究背景 .....................1 1.2研究目的 .....................1 第2章 文獻探討 .....................2 第3章 理論模式推導 .....................3 3.1模糊系統之理論背景 ............3 3.2模糊邏輯系統 .....................4 3.3最速下法 .....................10 第4章 硬體控制裝置 .....................14 4.1 液晶顯示器 .....................14 4.2 無線模組(2.4G 232) ............18 4.3藍芽模組 .....................21 4.4溫度感測器(DS18B20) ............25 4.5 單晶片(8051) .....................35 第5章 實驗設備與方法 ............37 5.1實驗設備 .....................37 5.2實驗方法 .....................38 5.3控制器設計 .....................40 5.4 脈衝寬度調變之設計 ............43 第6章 結果與討論 .....................45 6.1 增溫狀態下追蹤目標溫度 ............45 6.2 降溫狀態下追蹤目標溫度 ............49 6.3 討論 ..............................53 第7章 結論與建議 .....................54 7.1 結論 ..............................54 7.2 建議 ..............................54 參考文獻 ..............................56 | |
| dc.language.iso | zh-TW | |
| dc.subject | 非線性 | zh_TW |
| dc.subject | 最速下降法 | zh_TW |
| dc.subject | 模糊控制 | zh_TW |
| dc.subject | Fuzzy control | en |
| dc.subject | Steepest Descent method | en |
| dc.subject | Nonlinear. | en |
| dc.title | 採用最速下降法於即時模糊溫度控制器之開發 | zh_TW |
| dc.title | Development of a Real-Time Fuzzy Temperature Controller Based on Steepest Descent Method | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 艾群,葉仲基 | |
| dc.subject.keyword | 模糊控制,最速下降法,非線性, | zh_TW |
| dc.subject.keyword | Fuzzy control,Steepest Descent method,Nonlinear., | en |
| dc.relation.page | 57 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-01-18 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 生物產業機電工程學研究所 | zh_TW |
| 顯示於系所單位： | 生物機電工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-102-1.pdf 未授權公開取用 | 1.66 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。