摘要
针对不同农作物对于土壤湿度的不同要求,提出一种基于PID神经网络的土壤湿度控制算法。该算法综合PID神经网络和改进的粒子群算法,能够满足在大块田地中的多种农作物对于土壤湿度的不同需求。仿真分析的结果表明,该算法能够有效地满足各类农作物对土壤的湿度要求,提升了系统整体控制效果,缩短了控制时间,具有良好的动态性能。
Aiming at different requirements of different crops for soil moisture, a soil moisture control algorithm based on PIDNN is proposed. PIDNN and improved PSO algorithm are combined in this algorithm which could meet different needs of soil moisture of crops in a large field. The simulation result shows that this algorithm can effectively meet soil moisture requirements of all kinds of crops. And it also could improve overall control performance of system, shorten adjusting time and has better dynamic perform- ance.
出处
《计算机与现代化》
2017年第6期122-126,共5页
Computer and Modernization
基金
陕西省教育厅科研项目(16JK1887)
