由於人口和生活水平的增長，電力的需求每年以驚人的速度增長。在發展中國家，用煤電發電佔了很大比例。其中低排放，高效率的煤氣化被認為是最實用的技術。在目前的實踐中，煤氣化從煤，水和氧氣中產生各種用途的氫氣。研究輸入氧氣，水蒸汽和煤炭之間的最佳比例對輸出響應（包括氫氣和爐渣的質量/密度）至關重要。在本文中，基於數學公式和使用 MATLAB 仿真建立了氣化爐的動態模型。通過該模型，完成了對氧氣，蒸氣水和煤炭輸入擾動的模擬研究。此外，設計優化器，利用田口方法找出氧氣，水蒸汽和煤炭最佳的比 例，PSO（粒子群優化）和多個 ANFIS（自適應神經 - 模糊推理系統）的 PID 控制器，以找出最優比。通過這一提出的研究，預計氣化爐的能量轉化將得到改善，以最大限度地發揮氫氣並使爐渣最小化。

Due to the industry, population and living level are growing up, the demand on electricity power is annually increasing at an amazing speed. In the developing countries, using coal to generate electricity power occupies a large proportion. Wherein, the coal gasification with low emission and high efficiency is recognized to be the most practical technology. In current practice, coal gasification produces hydrogen for various purposes from coal, water and oxygen. The investigation of what the optimal ratio is between input oxygen, vapor water and coal to the output response including the quality/density of hydrogen and slag is important. In this paper, the dynamic model of gasifier is established based on the mathematic formulae and by using the MATLAB simulators. Through this model, the simulation studies under the input perturbation to oxygen, vapor water and coal were completed. In addition, a PID controller based on the integration of the optimizers as the Taguchi’s method, PSO (particle swarm optimization) and multiple ANFIS(adaptive neuro-fuzzy inference system), is design to find out the optimal ratio. Through this proposed study, the energy transformation of gasifier is expected to be improved to maximize the hydrogen generation and minimize the slag.