基于变论域模糊PI自适应控制的电力弹簧控制策略

吕广强; 许文敏; 王谱宇

doi:10.7500/AEPS20200221001

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基于变论域模糊PI自适应控制的电力弹簧控制策略

研制与开发 | 更新时间：2025-06-16

- 基于变论域模糊PI自适应控制的电力弹簧控制策略
- Control Strategy for Electric Spring Based on Fuzzy Proportional-Integral Self-adaptive Control in Variable Universe
- 电力系统自动化-方正平台 2020年44卷第18期页码：172-178
- 作者机构：
  
  南京理工大学自动化学院，江苏省南京市 210094
- 作者简介：
  
  吕广强（1974—），男，通信作者，博士，副教授，主要研究方向：电能质量检测与治理、无功补偿、新能源并网控制等。E-mail：lgqiang1008@163.com
  许文敏（1994—），男，硕士研究生，主要研究方向：电压控制与无功补偿。E-mail：2839123351@qq.com
  王谱宇（1989—），男，博士，讲师，主要研究方向：交直流混合电力系统的分析与控制、多端直流网络潮流控制与计算等。E-mail：puyu.wang@hotmail.com
- 基金信息：
  
  国家自然科学基金资助项目(51807091)
- DOI：10.7500/AEPS20200221001
  中图分类号：
- 收稿日期：2020-02-21，
  
  修回日期：2020-05-14，
  
  网络出版日期：2020-07-15，
  
  纸质出版日期：2020-09-25
- 稿件说明：
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吕广强,许文敏,王谱宇.基于变论域模糊PI自适应控制的电力弹簧控制策略[J].电力系统自动化,2020,44(18):172-178.

LYU Guangqiang,XU Wenmin,WANG Puyu.Control Strategy for Electric Spring Based on Fuzzy Proportional-Integral Self-adaptive Control in Variable Universe[J].Automation of Electric Power Systems,2020,44(18):172-178.
吕广强,许文敏,王谱宇.基于变论域模糊PI自适应控制的电力弹簧控制策略[J].电力系统自动化,2020,44(18):172-178. DOI： 10.7500/AEPS20200221001.

LYU Guangqiang,XU Wenmin,WANG Puyu.Control Strategy for Electric Spring Based on Fuzzy Proportional-Integral Self-adaptive Control in Variable Universe[J].Automation of Electric Power Systems,2020,44(18):172-178. DOI： 10.7500/AEPS20200221001.

摘要

针对电力弹簧传统控制策略自适应调节能力不足的问题，对传统控制策略进行改进。考虑系统运行工况或参数发生变化，尤其是非关键负载阻值在系统运行过程中可能发生的变化对电力弹簧调压性能的影响

以及普通模糊控制的局限性，提出了一种变论域模糊比例-积分（PI）自适应控制策略。该策略根据输入误差的大小实时调整模糊论域来得到更好的控制效果。结合函数型伸缩因子与模糊推理伸缩因子各自的优点，对输入论域和输出论域的伸缩因子分别进行设计，以提高控制精度。仿真分析表明，与现有的控制策略相比，所提控制策略进一步提高了系统稳定性，增强了电力弹簧的自适应调节能力。

Abstract

In view of the problem of insufficient self-adaptive adjustment ability of the traditional control strategy of electric spring

this paper improves the traditional control strategy. Considering the variation of system operation conditions or parameters

especially the influence of possible variation of non-critical load resistance during the operation of the system on the voltage regulation performance of electric spring and the limitations of conventional fuzzy control

a fuzzy proportional-integral (PI) self-adaptive control strategy in variable universe is proposed. This strategy timely adjusts the fuzzy universe according to the values of input errors

to obtain better control effect. Combining the respective advantages of the functional scaling factor and the fuzzy inference scaling factor

the scaling factors of the input universe and the output universe are designed separately

which improves the control accuracy. Simulation analysis shows that

compared with the existing control strategies

the proposed control strategy further improves the system stability and enhances the self-adaptive adjustment capability of electric spring.

关键词

Keywords

references

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