本論文利用ARM Cortex-M3微控制器實現以模糊理論控制之電熱系統。此電熱系統以電熱管與風扇作為受控體,由於溫度控制中有許多不定變因或非線性特性,其穩定度對於一般以理論建構的數學模型是一大挑戰。本論文融入了模糊理論之優點,減少建立複雜的數學模型,使用微控制器依照模糊理論來實現模糊化介面、模糊規則庫、模糊推論引擎、解模糊化介面等過程,其後利用解模糊化的值來調整電熱管之輸出功率與開關風扇。實驗結果顯示,相較於傳統過溫斷電的控制方式,此系統能有效地降低溫度振幅,將溫度誤差控制於可容許範圍內,藉以將溫度控制在操作者所設定的溫度值。
In this thesis, we use ARM CORTEX-M3 microcontroller to realize an fuzzy logic controlled electrical heating system. There are many uncertain factors or nonlinear characteristics in temperature control, so it is a big challenge to construct a mathematical model for temperature stability by using the theory. Therefore, this thesis applies the advantages of fuzzy theory to eliminate the complicated mathematical models. We use the microcontroller to implement fuzzification interface, fuzzy rule base, fuzzy inference engine, defuzzification processes according to the fuzzy theory, and then the heating power and the fan is adjusted by the defuzzification value. Experimental results show that compared with the traditional over-temperature shutdown control, the proposed system can effectively reduce its temperature variation, so as to control temperature at the presetting value within a tolerable error range.