摘要
针对吸收式制冷系统中发生器液位系统的强非线性、大滞后问题,提出了一种基于自组织神经网络模糊控制的液位控制方法。根据特征面积法,得到了发生器液位与溶液循环泵频率的数学模型,通过梯度下降和最小二乘混合算法处理实验数据,得到了隶属函数的参数及相应的模糊规则。最后通过Simulink平台完成了系统仿真搭建,并对仿真结果进行分析。仿真结果表明,所设计控制器的稳定性高、适应能力强。
In order to solve the problem of strong nonlinearity and large lag of generator liquid level system in absorption refrigeration system,a liquid level control method based on self-organizing neural network fuzzy control is proposed.According to the characteristic area method,the mathematical model of the frequency of the liquid level and the circulating pump of the generator is obtained.The parameters of the membership function and the corresponding fuzzy rules are obtained by processing the experimental data with the hybrid algorithm of gradient descent and least square.Finally,the system simulation is completed through Simulink platform,and the simulation results are analyzed.Simulation results show that the designed controller has high stability and strong adaptability.
作者
刘忠晨
汪衍凯
孙梅
孙昊
马浩翔
LIU Zhong-chen;WANG Yan-kai;SUN Mei;SUN Hao;MA Hao-xiang(School of Information and Electrical Engineering,Shandong Jianzhu University,Jinan,Shandong 250101,China)
出处
《计算技术与自动化》
2023年第2期1-5,共5页
Computing Technology and Automation
基金
山东省重大科技创新工程项目(2019JZZY020812)
山东省自然科学基金面上资助项目(ZR2020MF070)。
关键词
发生器
液位控制
模糊控制
神经网络
generator
liquid level control
fuzzy control
neural network
