摘要
提高油田抽油机的电能利用率一直是人们关心的一个热点。传统的方法是采用双模控制技术(bang-bang和PID控制相结合),但由于模型的不确定性等因素,难以获得满意的控制效果。为此该文设计了一种基于改进遗传算法的PID模糊控制器,通过检测抽油机的电压与电流之间的相位差,实时构建不同工况条件下的系统模型,采用改进遗传算法与模糊控制相结合的技术,优化PID整定参数。仿真和实验表明,控制器具有很好的控制效果。
To improve the efficiency of electricity of the oil pump has been a research hotspot. Traditional method is double modul control technique （ combining bang - bang with PID controller）, however, there is no guarantee that satisfiactory results are always obtained due to uncertainty in the system. Therefore a PID fuzzy controller is designed based on an improved genetic algorithm, where the system model is constructed in different work situation through detecting the phase difference of voltage and current, and the technique which combines the improved genetic algorithm with fuzzy control is used to optimize PID control parameters. Both simulation and experiment show that the proposed controller achieves good control results.
出处
《计算机仿真》
CSCD
2006年第9期172-174,197,共4页
Computer Simulation
关键词
遗传算法
模糊控制器
双模控制
节能器
Genetic algorithm
Fuzzy controller
Double model control
Energy - saving controller
