現今工業生產的各種製程中，溫度控制已成為產品良率提升及精度提高所不可或缺之ㄧ環，有鑑於溫度系統之動態方程式為時變非線性不易求得，且有時間延遲問題，加上外在環境溫度之影響，增加了控制器設計之難度。
本文採用不需數學模式的Model-free控制策略，設計了PID、模糊邏輯控制器（Fuzzy）及模糊滑動模式控制器（FSMC），實際應用於一個單向加熱而無法冷卻的單向加熱室。實驗結果發現，三種控制器均可調整到不會發生overshoot，FSMC控制器效果與其他二個控制器比較，響應速度快且穩態誤差小，可達成所需之精確工作性能，此外，本文並設計了一個自調式模糊滑動模式控制器，來改善輸出隸屬度函數增益值需隨設定點溫度調整之缺點，提升了控制系統之適應性，以廣泛實際應用於工業製程上。

For all kinds of industry manufacturing processor, temperature control becomes the key factor to increase the precision and completion of products. Since the dynamics of temperature system has time-varying, non-linear and time-delay behaviors, it is difficult to design model-based precise temperature controller under external ambient influence.
Here, three kinds of model-free controllers are employed and investigated to control the unipolar heating system without cooling device. They are PID controller, Fuzzy logic controller, and Fuzzy Sliding Mode Controller（FSMC）. Although, no overshoot response can be achieved by trial-and-error process to adjust the control gains and fuzzy parameters with respect to the setting temperature. It is a time consuming work and it is difficult to implement on various industrial application. For order to solve the problem, an autotuning-FSMC is developed to automatically adjust the parameters of fuzzy membership function in response to the setting temperature change. It has increasing the adaptation of control system, and simplified the industrial implementation problem.

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