吉林大学学报(工学版) ›› 2021, Vol. 51 ›› Issue (6): 1997-2006.doi: 10.13229/j.cnki.jdxbgxb20200848

• 车辆工程·机械工程 • 上一篇    

机器学习风速预测及新能源抽油机风功率控制

张春友1,2(),王亮1(),李宏1,武桐言1,李岩3   

  1. 1.北京航空航天大学 自动化科学与电气工程学院，北京 100191
    2.内蒙古民族大学 工学院，内蒙古 通辽 028000
    3.内蒙古电子信息职业技术学院 电子与自动化学院，呼和浩特 010070
  • 收稿日期:2020-11-03 出版日期:2021-11-01 发布日期:2021-11-15
  • 通讯作者: 王亮 E-mail:zcy19801204@126.com;wangliang@buaa.edu.cn
  • 作者简介:张春友（1980-），男，副教授，博士. 研究方向：新能源利用技术. E-mail：zcy19801204@126.com
  • 基金资助:
    国家自然科学基金项目(51865046);内蒙古自治区科技成果转化引导项目(2020CG0085);内蒙古科技英才支持计划项目(NJYT-19-B15)

Wind speed prediction based on machine learning and new energy pumping unit wind power control

Chun-you ZHANG1,2(),Liang WANG1(),Hong LI1,Tong-yan WU1,Yan LI3   

  1. 1.School of Automation Science and Electrical Engineering，Beihang University，Beijing 100191，China
    2.College of Engineering，Inner Mongolia University for the Nationalities，Tongliao 028000，China
    3.College of Electronics and Automation，Inner Mongolia Electronic Information Vocational Technical College，Hohhot 010070，China
  • Received:2020-11-03 Online:2021-11-01 Published:2021-11-15
  • Contact: Liang WANG E-mail:zcy19801204@126.com;wangliang@buaa.edu.cn

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摘要：

为了提高新能源抽油机的节能效果，提出了风力机最大风能跟踪控制策略。通过支持向量回归（SVR）方法估计作用到风轮平面的有效风速，利用粒子群算法对估计模型中的关键参数进行优化，以提高风速估计的精度。在转速反馈控制环节，设计了反馈线性化滑模控制器，通过与PID控制器进行对比研究，验证了所设计新型控制器具有快速性、抗扰动等特点。本文提出的最大风功率跟踪控制策略能够满足新能源抽油机的节能要求。

关键词: 风能利用, 新能源抽油机, 支持向量回归, 反馈线性化, 功率跟踪

Abstract:

This paper takes the new energy pumping unit as the research object. In order to improve the ability of new energy pumping unit，first, the maximum wind energy tracking control strategy of the wind turbine is studied, and a wind speed estimation method-support vector regression is presented. Then, the key parameters in the estimation model are optimized by particle swarm optimization. Finally, a feedback linearized sliding mode controller is designed for speed feedback control. By comparing with PID controller, it is verified that the new controller has the characteristics of rapidity and anti-disturbance. Therefore, the maximum wind power tracking control strategy proposed in this paper meets the energy-saving requirements of new energy pumping units.

Key words: wind energy, new energy pumping unit, support vector regression（SVR）, feedback linearization, power tracking

中图分类号: 

  • TK89

图1

抽油机结构简图"

图2

风力机-电机混合传动系统结构简图"

图3

风能利用系数与叶尖速比的关系曲线"

图4

风力机特性曲线"

图5

基于粒子群算法的参数优化流程图"

图6

适应度曲线"

图7

C=142.847，δ2=187.851在实验样本上的回归结果"

图8

风速阶跃信号和管路压力变化信号"

图9

风轮转速响应对比"

图10

风力机捕获风功率对比"

图11

风力机-泵系统输出功率对比"

图12

风能利用系数对比"

图13

风速扰动信号"

图14

转速稳定性对比"

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