摘要
温室对于发展现代农业关系重大,针对温室温度控制系统存在非线性、大惯性、纯滞后及强耦合的复杂特点,为提高温室温度控制精度,在分析传统温室温度PID控制的基础上,提出一种基于改进遗传算法优化二自由度PID控制器的温室温度控制方法,有效解决了传统温室温度控制精度差的缺点。文章运用Matlab对温室环境温度的仿真对比实验,验证了所提出的控制方法的有效性;通过仿真实验发现:本文提出的方法与其他控制方法相比,具有响应快、超调量小、稳定性好及鲁棒性强的优点,可更好的满足温室温度控制。
Greenhouses are of great importance for the development of modern agriculture.In response to the complex characteristics of nonlinearity,large inertia,pure lag,and strong coupling in greenhouse temperature control systems,in order to improve the accuracy of greenhouse temperature control,based on the analysis of traditional greenhouse temperature PID control,a greenhouse temperature control method based on improved genetic algorithm optimization of a two degree of freedom PID controller is proposed,effectively solving the problem of poor accuracy in traditional greenhouse temperature control.The article uses Matlab to simulate and compare the temperature of greenhouse environments,verifying the effectiveness of the proposed control method;Through simulation experiments,it was found that the method proposed in this article has the advantages of fast response speed,small overshoot,good stability,and strong robustness compared to other control methods,which can better meet the requirements of greenhouse temperature control.
作者
宣峰
吴延凯
Xuan Feng;Wu Yankai(Henan Polytechnic Institute,Nanyang 473000,Henan,China)
出处
《船电技术》
2025年第6期34-38,共5页
Marine Electric & Electronic Engineering
基金
河南省科技厅科技攻关项目(232102220078)。
关键词
温室
遗传算法
二自由度
PID控制器
greenhouse
genetic algorithm
two degree of freedom
PID controller
