基于模糊神经网络的农业电气PID控制参数优化  

Optimization of Agricultural Electrical PID Control Parameters Based on Fuzzy Neural Network

作　　者：史德林 

机构地区：[1]江苏省现代农业装备工程中心,江苏句容212400

出　　处：《电网与清洁能源》2016年第3期40-44,49,共6页Power System and Clean Energy

基　　金：江苏省农机三项工程项目(NJ2013-18)~~

摘　　要：提出一种基于改进模糊神经网络PID控制的农业电气设备控制参数优化方法。设计了农业电气设备的系统结构模型,对农业电气设备的控制参量进行约束模型构建,得到控制目标函数,设计三层前向变结构PID神经网络,对农业电气PID控制参数进行自适应优化调节,设计了变结构的模糊神经网络PID控制器,实现对农业电气PID优化控制。仿真结果表明,采用该算法进行农业电气设备控制,其输出电压和电流等参数的稳定性和自整定性较好,功率增益较高,收敛性好,控制误差较少,提高了电气系统的稳定性和可靠性。In this paper an improved fuzzy neural network PID control method for agricultural electrical equipment control parameters is proposed. The system structure model of the agricultural electrical equipment is designed and the control parameters are set up and the control objective function is obtained. The PID neural network is designed with the PID control parameters adjusted and the fuzzy neural network PID controller is designed to realize the PID optimized control of the agricultural electrical equipment. The simulation results show that the with this algorithm to control the agricultural electrical equipment,the stability and self-adjusting of the output voltage and current are better with higher power gain,better conver-gence and less control errors and the stability and reliability of the electrical system are improved.

关 键 词：农业电气 PID控制 神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]