臺灣博碩士論文加值系統

本論文提出模糊邏輯進行控制器設計，目的在於控制溫室系統內部溫度與濕度，分別設計三種控制器包括第一型模糊邏輯控制器、適應性第一型模糊邏輯控制器以及適應性第二型模糊邏輯控制器，利用MATLAB進行溫室系統控制模擬，驗證控制系統在對外部干擾和不確定性，控制溫室內部溫度與濕度的效果。同時利用模糊神經網路設計第一型估測器及第二型估測器，觀察温室系統內部温度和濕度的變化，預先得知非預期的系統參數情況，並利用倒傳遞演算法為系統調整參數。最後利用Arduino MEGA控制板進行控制系統嵌入式實現，測試本論文設計的控制器與估測器在嵌入式系統，對溫室系統的控制效能。

Greenhouse effect affects the globe, especially influencing agricultural development. In this thesis, the main objective is to develop the fuzzy neural network observer and control the temperature and humidity in greenhouse system and embedded system implementation is performed. In this thesis, three the fuzzy logic control structures are proposed, 1. Type-1 fuzzy logic controller, 2. Type-1 adaptive fuzzy logic controller and 3. Interval type-2 adaptive fuzzy logic controller and the greenhouse system control simulations are achieved by MATLAB software.
The simulation results show that the humidity and temperature inside the greenhouse system can be regulated by verifying and examining the controller system’s external interferences and uncertainties. In the meanwhile, the outputs from type-1 and type-2 observers can be used as system variables to tune the system parameters by backpropagation algorithms. Finally, the performance of the proposed controllers and observers can be verified by Arduino MEGA board and it shows that the humidity and temperature inside the greenhouse system can be controlled within the prescribed range.

致謝 i
中文摘要 ii
Abstract iii
目次 iv
圖目錄 vii
表目錄 xii
第1章 緒論 1
1.1 研究背景 1
1.1.1 全球暖化 1
1.1.2 温室環境 2
1.2 研究目的 2
1.3 論文架構 3
第2章 文獻回顧 4
2.1 模糊控制器與估測器 4
2.2 溫室系統模型 6
2.3 溫室溫度與濕度控制系統 7
2.4 溫室控制實現 8
第3章 溫室系統環境 10
3.1 溫室系統數學模型 10
3.2 參數設定 11
3.3 系統架構 13
第4章 溫室系統適應性第一型智慧型控制 15
4.1 第一型模糊邏輯控制 15
4.1.1 模糊邏輯控制器設計 15
4.1.2 輸入和輸出歸屬函數設定 17
4.1.3 控制溫室溫度和濕度規則 20
4.1.4 解模糊化 22
4.1.5 模擬結果 23
4.2 適應性第一型模糊邏輯控制 24
4.2.1 適應性模糊邏輯控制器 25
4.2.2 模糊類神經網路估測器 25
4.2.3 控制系統倒傳遞演算法 32
4.2.4 模擬結果 36
第5章 溫室系統適應性第二型智慧型控制 40
5.1 適應性第二型模糊邏輯控制 40
5.1.1 模糊邏輯控制器設計 40
5.1.2 輸入和輸出歸屬函數設定 41
5.1.3 控制溫室溫度和濕度規則 46
5.1.4 解模糊化 47
5.1.5 第二型模糊類神經網路估測器 49
5.1.6 倒傳遞演算法 52
5.1.7 實驗結果 56
第6章 溫室系統設計嵌入式系統實現 64
6.1 嵌入式系統實現架構 64
6.2 控制板 65
6.3 脈衝寬度變調 66
6.4 模糊邏輯控制器輸出轉換 67
6.5 嵌入式系統適應性第二型智慧型控制結果 69
第7章 結論與未來展望 73
7.1 結論 73
7.2 未來展望 74
參考文獻 75

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