TY - JOUR A2 - Chen, Shyi-Ming AU - Salim, Hosham AU - Faisal, Khalid AU - Jawad，Raheel PY - 2018 DA - 2018/12/02 TI -性能增强火力发电厂汽轮机的使用人工神经网络和电路设计SP - 8042498六世- 2018 AB -设计和电路的注入蒸汽动力装置的性能和人工神经网络技术用于控制涡轮机。人工神经网络技术被应用于许多工业模型的实际控制。巴格达AL-Dura电厂采用人工神经网络对汽轮机的压力、温度、速度、湿度等重要变量进行控制。在本研究中，利用人工神经网络(ANN)将Simulink模型应用于MATLAB程序(v2014 a)。控制模型的方法是利用NARMA生成数据和训练网络。安是离线。人工神经网络需要数据来获得结果，并与实际电厂进行比较。输入变量的取值对神经网络的节点数和纪元数有很大的影响，在神经网络的隐层，它们也影响神经网络的性能。 The electric circuit of sensors consists of transformer, DC bridge, and voltage regulator. Comparing the results from modeling by ANN and electric circuit with experimental data reveals a good agreement and the maximum deviation between the experimental data and predicted results from ANN and circuit design is less than 1%. The novelty in this paper is applying NARMA controller for the purpose of enhancement of turbine performance. SN - 1687-9724 UR - https://doi.org/10.1155/2018/8042498 DO - 10.1155/2018/8042498 JF - Applied Computational Intelligence and Soft Computing PB - Hindawi KW - ER -