本論文為建立一負載可變之溫度控制器，並應用於電磁熱療系統中，使系統於環境(空氣、血液、組織)以及負載(線圈、針具)變動之情況下，能在短時間內反應並穩定控制在期望溫度上。電磁熱治療過程中，必須有一套穩定且可靠的溫度控制系統來偵測負載(線圈、針具)以及加熱物(病人患部)之狀態並即時進行調整，且當醫師需依照不同患部變換感應線圈大小時，系統皆能安全且穩定的進行溫度控制。本研究係以模糊理論進行演算法之設計，結合電磁熱療系統之加熱特性，於模糊化界面、模糊規則庫以及解模糊化界面等各區塊進行設計，同時搭配旋轉演算法優化模糊規則表，最後於輸出端設計一權重調整機制，進行在線式之判斷與調整，以達到安全且穩定之電磁熱燒灼治療。經實驗證明，本系統於變換線圈內直徑(15 cm以及35 cm)、變動垂直與水平加熱距離(0 cm至5 cm)以及變換入針角度(45 °以及60 °)等情況下，皆能快速升溫並穩定控制於期望溫度上，同時可於系統能力範圍內，藉由設定溫度響應曲線，達到不同之溫升效果，以驗證本文所提出之設計方法與可行性。

This study intends to establish a temperature controller with variable load for the application to an electromagnetic thermotherapy system so that the system could respond in short time and stabilize on the expected temperature under fluctuating environments (air, blood, tissue) and loads (coil, needle). In the electromagnetic thermotherapy process, a stable and reliable temperature controller system is necessary for detecting the states of loads (coil, needle) and a heated object (patient’s affected area) for real-time adjustment. Besides, when a physician changes the size of the induction coil according to the affected area, the system could safely and stably control the temperature. Fuzzy Theory is utilized in this study for the algorithm design, and the heating characteristic of the electromagnetic thermotherapy system is combined for designing the blocks of fuzzification interface, fuzzy rule base, and defuzzification interface. Meanwhile, the rotation algorithm optimization fuzzy rule table is matched, and a weight adjustment mechanism is designed at the output end for online judgment and adjustment to achieve the safe and stable electromagnetic thermotherapy. The experiment proves that the system, under the situations of changing the coil inner diameter (15 cm and 35 cm), the vertical and horizontal heating distance (0 cm to 5 cm), and angles of needle insertion (45° and 60°), could rapidly rise the temperature and stabilize the expected temperature. Meanwhile, different temperature rising effects could be achieved by setting the temperature response curve within the capability area of the system to prove the design proposed in this study and the practicability.

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