This paper presents a comprehensive review of various traditional systems of crude oil distillation column design, modeling, simulation, optimization and control methods. Artificial neural network (ANN), fuzzy logic (...This paper presents a comprehensive review of various traditional systems of crude oil distillation column design, modeling, simulation, optimization and control methods. Artificial neural network (ANN), fuzzy logic (FL) and genetic algorithm (GA) framework were chosen as the best methodologies for design, optimization and control of crude oil distillation column. It was discovered that many past researchers used rigorous simulations which led to convergence problems that were time consuming. The use of dynamic mathematical models was also challenging as these models were also time dependent. The proposed methodologies use back-propagation algorithm to replace the convergence problem using error minimal method.展开更多
为得到带端撑750 k V变电构架不同根开下的最优方案,采用SAP 2000软件对进出线根开尺寸为6,7,8 m的钢管混凝土人字柱变电构架进行有限元分析,并对纯钢管变电构架和各根开情况下的钢管混凝土变电构架结构的截面尺寸进行初步设计,分析其...为得到带端撑750 k V变电构架不同根开下的最优方案,采用SAP 2000软件对进出线根开尺寸为6,7,8 m的钢管混凝土人字柱变电构架进行有限元分析,并对纯钢管变电构架和各根开情况下的钢管混凝土变电构架结构的截面尺寸进行初步设计,分析其经济性。结果表明:在满足承载力要求的前提下,根开尺寸为8 m的方案为最优方案,具有一定的经济效益。展开更多
文摘This paper presents a comprehensive review of various traditional systems of crude oil distillation column design, modeling, simulation, optimization and control methods. Artificial neural network (ANN), fuzzy logic (FL) and genetic algorithm (GA) framework were chosen as the best methodologies for design, optimization and control of crude oil distillation column. It was discovered that many past researchers used rigorous simulations which led to convergence problems that were time consuming. The use of dynamic mathematical models was also challenging as these models were also time dependent. The proposed methodologies use back-propagation algorithm to replace the convergence problem using error minimal method.
