用多变量模糊神经网络实现双抽汽轮机热电负荷的解耦控制

The Thermo-electic Load Decoupling Control of Steam Turbine with DoubleAutomatic Extraction Steam by Neuro-fuzzy Network

由于经典控制理论和现代控制理论分别在双抽汽轮机电、热负荷协调控制应用中的不足,提出了用模糊神经网络控制来实现解耦控制。以15MW双抽汽轮机为例,建立系统动态数学模型,并进行了模糊神经网络解耦控制的数字仿真。

Because of the disadvantage of double extraction steam turbine control by using classics control theory and modern control treory, this paper put forward the neuro-fuzzy network decoupling control model. Here set up a 15WM double extraction steam turbine mathematic model, which is the controled object , and simulation by using neurofuzzy network decoupling control.