水泥生产过程蒸汽流量的神经网络控制器设计与控制
Design and Control of Steam Flow in Cement Production Process using Neural Network Based Controllers
摘要：
本文采用NARMA L2模型参考神经网络预测控制器，通过控制蒸汽流量阀来控制加热炉内蒸汽的输出流量。蒸汽流量控制系统基本上是一种反馈控制系统，主要用于水泥生产行业。利用Matlab/Simulink工具箱对所设计的控制器进行了系统设计。该系统设计用于实际蒸汽流量输出，以跟踪作为两个所需蒸汽输入信号（阶跃和正弦波）的输入而提供给系统的所需蒸汽。为了分析系统的性能，所提出的控制器进行了比较，通过模拟系统的两个参考信号的系统有和没有传感器噪声干扰。最后通过仿真结果验证了模型参考控制器在过程控制系统中的有效性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
