过热蒸汽温度控制中RBF神经网络整定PID控制的应用程序研究

在社会主义市场经济不断发展和完善的背景下,电力能源已经变成了人民群众生产和生活中不可或缺的一项重要的能源,随着电力能源需求量的逐渐增长,火力发电作为我国电力产业链条中一个重要能源支柱,也需要通过不断的发展与创新来满足社会生产生活对电力能源的需求。本文从PID控制系统结构设置方面入手,分析径向基函数(RBF)神经网络的结构和算法,探讨径向基函数(RBF)神经网络的PID控制原理,并进一步通过仿真实验检验其控制性能和效果。

With the gradual growth in electricity demand for energy, thermal power as an important energy pillar of China＇s electric power industry chain, need to meet the demand for electricity production and social life through continuous development and innovation. This paper begins with the PID control system structure aspects, analyzes the structure and algorithm of radial basis function （RSF） neural network, investigates the PID control principle of radial basis function （RflF） neural network, and further through the simulation experiment tests the control performance.