摘要
为了提升自抗扰控制效果,提出了基于改进磷虾群算法的自抗扰控制方法.利用线性自抗扰控制技术,设计电力系统自抗扰控制器;利用扩张状态观测器估计系统总扰动,在系统控制量内加入前馈微分信号,通过该控制器的线性误差反馈律自抗扰控制电力系统,采用改进磷虾群算法优化该控制器的反馈比例增益与反馈微分增益,提升自抗扰控制效果.实验结果表明,在不同扰动时,应用本文方法自抗扰控制后,可有效降低电力系统稳态误差有效值与谐波畸变率.
In order to improve the effect of active disturbance rejection control(ADRC),an ADRC method based on improved krill swarm algorithm was proposed.Using a linear active disturbance rejection control technology,an active disturbance rejection controller of power system was designed.The expansion state observer was used to estimate the total disturbance of system,and the feedforward differential signal was added into the control quantity of system.The ADRC power system was controlled by the linear error feedback law of the controller,and the feedback proportional gain and feedback differential gain of the controller were optimized by the improved krill swarm algorithm to improve the ADRC effect.Experimental results show that the as-proposed method can effectively reduce the effective value of steady-state error and harmonic distortion rate of power system under different disturbances.
作者
熊炜
韩力
XIONG Wei;HAN Li(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan 430068,China)
出处
《沈阳工业大学学报》
CAS
北大核心
2023年第4期453-458,共6页
Journal of Shenyang University of Technology
基金
湖北省自然科学基金项目(2019CFB530)
襄阳湖北工业大学产业研究科研项目(XYYJ2022CO5).
关键词
人工智能技术
电力系统
自抗扰控制
扩张状态
总扰动
改进磷虾群
前馈微分信号
线性误差反馈率
artificial intelligence technology
power system
active disturbance rejection control
expansion state
total disturbance
improved krill colony
feedforward differential signal
linear error feedback rate