在高週波金屬加熱的應用中，金屬管件加工過程的溫度控制會直接影響著最終之成品特性，因此對於該系統而言，一個穩定且精確的控制器是不可或缺的。在眾多控制理論中，由於高週波系統之非線性時變特性，以模糊控制器最適合對其進行控制。為了使控制器能精準地控制溫度上升曲線，本研究藉由控制標準二階系統模型之參數，動態產生與使用者輸入相應的溫度曲線供給控制器參考。然而由於模糊控制器之控制參數須經由專家根據經驗及系統情況進行調整設定，而在金屬加熱的應用中溫度需求會隨應用及管件的不同而有很大的差異，因此將造成控制器使用固定參數下適應範圍不足的情形。本研究通過對模糊控制器各個參數進行通透分析後，設計一自調變模塊，使其能根據系統情況對控制器之參數進行即時調整，最終使控制器之適應範圍有效且穩定地擴大。設計過程中同時對控制器性能進行數值模擬比較，其結果顯示，加入本研究所設計之自調變模塊後，控制器之適應範圍及性能皆有明顯提升。最後於實際之金屬加熱實驗中，利用新舊控制器搭配高週波系統進行加熱實驗，結果顯示加入自調變模塊之模糊控制器的各個控制性能指標皆較傳統模糊控制器更為優異，驗證了該自調變模塊的效果。

In the application of metal induction heating, the temperature control of the metal pieces will tremendously affect their ultimate features. Thus, a stable and precise temperature controller is necessary for this kind of systems. Among plenty of control theories, because of the non-linear and time-varying features of induction heating system, the fuzzy logic controller is the one most suitable to it. On the purpose of precisely controlling the rising time of temperature, this research presents a method to build a dynamic target curve producer which can produce a curve corresponding to the setting of rising time and ultimate target temperature as a reference of a fuzzy logic controller (FLC). However, there are some quantization factors in a fuzzy controller needing to be set according to the system situation and experts’ experience, which will cause the controller’s shortage of adaptive range. To solve this problem, this research analyzes all the factors and proposes a self-tuning scheme to make the controller able to do the real time adjusting based on the system situation, and eventually more adaptive. In the design process, a numerical simulation of control capability comparison between the typical FLC and the new one is made. The results show that with the proposed self-tuning scheme, the control capability and adaptive range of the controller have been drastically improved. Finally, the experiments are carried out on our induction heating system to verify the effect of the proposed self-tuning scheme.

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