摘要
使用传统方法优化控制参数时,能够实现较好的控制效果,但是优化时间长,不适用于对复杂系统的参数优化。基于此,研究大型舰船发电机转速控制参数优化方法。建立舰船发电机的转速控制模型,分析模型得到影响控制效果的参数。为减小控制误差,设计引入跟踪误差的控制律。使用BFO-PSO算法完成参数优化处理。设计基于遗传算法优化方法的对比实验,实验结果表明,应用研究的方法后控制效果更佳,并且节省了约64.6%的控制响应时间。
When using the traditional method to optimize the control parameters,it can achieve better control effect,but the optimization time is long,so it is not suitable for the parameter optimization of complex system.Based on this,the optimization method of speed control parameters of large-scale marine generator is studied.The speed control model of marine generator is established,and the parameters affecting the control effect are obtained by analyzing the model.In order to reduce the control error,a control law with tracking error is designed.BFO-PSO algorithm is used to optimize the parameters.The experimental results show that the control effect is better and the control response time is saved about 64.6%.
作者
卓陈祥
张春艳
ZHUO Chen-xiang;ZHANG Chun-yan(School of Electronic Technology,Wuxi Vocational College of Science and Technology,Wuxi 214028,China)
出处
《舰船科学技术》
北大核心
2020年第20期58-60,共3页
Ship Science and Technology
基金
江苏省教育厅社政处课题资助项目(2012SJD880089)
