摘要
为改善船舶电站的动态和稳态性能,本文提出基于神经网络的船舶电站频载模糊控制方法。分别对船舶电站的频率和功率变化情况进行监测,并保存监测数据,通过与正常频载范围进行对比,计算出频载模糊控制量;在此基础上,结合模糊控制原理和神经网络推断逻辑设计电站频载控制器,通过调整单机频率和解列电站频载的方式实现对船舶电站的频载控制。通过实验对比可知,无论频率角度的控制还是功率角度的控制,所提方法的控制性能始终优于传统控制方法。
In order to improve the dynamic and steady-state performance of ship power station, a fuzzy control method based on neural network is proposed in this paper. The frequency and power changes of the ship power station are monitored respectively, and the monitoring data are saved. By comparing with the normal frequency carrying range, the frequency carrying fuzzy control quantity is calculated. On this basis, the power station frequency load controller is designed based on fuzzy control principle and neural network inference logic, and the frequency load control of the ship power station is realized by adjusting the frequency of single machine and decommissioning the frequency load of the power station. The experimental comparison shows that the control performance of the proposed method is better than that of the traditional control method regardless of the control of frequency angle or power angle.
作者
胡建军
HU Jian-jun(North China Electric Power University,Baoding 071003,China)
出处
《舰船科学技术》
北大核心
2020年第2期94-96,共3页
Ship Science and Technology
关键词
神经网络
船舶电站
频载控制
单机频率
功率
neural network
marine power station
frequency load control
single frequency
power
