基于无模型自适应控制的风热恒温系统设计  

Design of a Wind and Thermal Constant Temperature System Based on Model-free Adaptive Control

作　　者：王鹏鹏 高寨勇 冯文武 WANG Pengpeng;GAO Zhaiyong;FENG Wenwu(Jinxi Group Shanxi Jiangyang Chemical Co.,Ltd.,Taiyuan 030008,Shanxi,China)

机构地区：[1]晋西集团山西江阳化工有限公司,山西太原030008

出　　处：《热处理技术与装备》2025年第2期75-78,共4页Heat Treatment Technology and Equipment

摘　　要：为实现风热恒温系统设计,基于无模型自适应控制方法,结合神经网络来对恒温控制系统进行设计。该方法通过RBF神经网络逼近无模型自适应控制器中的参数步长因子和权重因子,并基于梯度下降算法实现其在线自适应整定。仿真研究表明,该方法能够有效处理复杂工业过程中的非线性和随机性问题,为复杂动态系统的自适应控制提供了新的解决方案。To achieve the wind and thermal constant temperature system,a constant temperature control system based on the model-free adaptive control method combined with neural networks was designed.This method used Radial Basis Function(RBF)neural networks to approximate the step factor and weight factors in the model-free adaptive controller and employed gradient descent algorithms for online adaptive tuning.The simulation results demonstrated that this method could effectively handle nonlinear and stochastic issues in complex industrial processes,providing a new solution for adaptive control of complex dynamic systems.

关 键 词：无模型自适应控制 RBF神经网络 恒温控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]