现代电子技术2018，Vol.41Issue(2)：68-70,74,4.DOI:10.16652/j.issn.1004-373x.2018.02.017
基于粒子群优化的电气自动节能控制器设计
Design of electric automatic energy saving controller based on particle swarm optimization
陈炎 1王锡淮 1肖健梅1
作者信息
- 1. 上海海事大学 电气自动化系,上海201306
- 折叠
摘要
Abstract
Aiming at the big energy consumption and poor standby state control effect of automatic data debugging for the current electric automatic controller,the electric automatic energy-saving controller based on particle swarm optimization is pro-posed. The SYU-213 energy-saving controller is selected in the design and the automatic controller is optimized in hardware de-sign to ensure the effective switching of various states. The Kalman filter algorithm under particle swarm optimization is intro-duced in software design to carry out rapid energy saving under different conditions. The simulation results show that the de-signed electric automatic energy-saving controller based on particle swarm optimization can effectively reduce the energy con-sumption of electric automatic control,and carry out the energy-saving control even if it is in standby state.关键词
粒子群优化/电气自动控制/节能控制器/待机状态/卡尔曼算法/状态切换Key words
particle swarm optimization/electric automatic control/energy-saving controller/standby state/Kalman algo-rithm/state switching分类
信息技术与安全科学引用本文复制引用
陈炎,王锡淮,肖健梅..基于粒子群优化的电气自动节能控制器设计[J].现代电子技术,2018,41(2):68-70,74,4.
