Design and implementation of constrained predictive control simplified algorithm based on particle swarm optimization

被引:0
|
作者
Wang, Kai-Chen [1 ]
Ma, Ping [1 ]
机构
[1] North China Elect Power Univ, Dept Automat, Baoding 071003, Hebei, Peoples R China
关键词
constrained predictive control; Dynamic Matrix Control; particle swarm optimization; algorithm simplification;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In order to achieve the purpose of reducing the calculation quantity and improving the computation speed of predictive control, an aggregation algorithm was proposed to design the predictive control simplified algorithm. At the same time, consider the actuators' outputs with restrictions in industrial, the particle swarm optimization was used to design the output constraint on the basis of predictive control simplified algorithm. Finally, the algorithm was applied to boiler denitration control system by PLC in a power plant in Shaanxi Province. The practical result shows that the predictive control algorithm also can be implemented in the device with limited hardware resources and has a good control effect.
引用
收藏
页码:685 / 690
页数:6
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