论文标题
使用基于神经网络的控制器设计和控制水泥生产过程中的蒸汽流动
Design and Control of Steam Flow in Cement Production Process using Neural Network Based Controllers
论文作者
论文摘要
在本文中，使用NARMA L2，使用模型参考和神经网络预测控制器，以通过控制蒸汽流阀来控制炉子中蒸汽的输出流量。蒸汽流控制系统基本上是一个反馈控制系统，主要用于水泥生产行业。使用MATLAB/SIMULINK工具箱完成系统的设计。该系统是为实际的蒸汽流量输出而设计的，以跟踪将所需的蒸汽作为两个所需的蒸汽输入信号（步骤和正弦波）的输入。为了分析系统的性能，通过在有和没有传感器噪声干扰的系统的两个参考信号中模拟系统的系统来进行比较。最后，比较结果证明了使用模型参考控制器提出的过程控制系统的有效性。
In this paper a NARMA L2, model reference and neural network predictive controller is utilized in order to control the output flow rate of the steam in furnace by controlling the steam flow valve. The steam flow control system is basically a feedback control system which is mostly used in cement production industries. The design of the system with the proposed controllers is done with Matlab/Simulink toolbox. The system is designed for the actual steam flow output to track the desired steam that is given to the system as input for two desired steam input signals (step and sine wave). In order to analyze the performance of the system, comparison of the proposed controllers is done by simulating the system for the two reference signals for the system with and without sensor noise disturbance. Finally the comparison results prove the effectiveness of the presented process control system with model reference controller.
