中山大学学报自然科学版 ›› 2019, Vol. 58 ›› Issue (4): 153-158.doi: 10.13471/j.cnki.acta.snus.2019.04.016

• 论文 • 上一篇    

基于自适应模糊PID的风速控制系统设计

伞红军1,2,陈浩1,陈明方1,张道义1,刘金鑫1,臧家秀1   

  1. 1.昆明理工大学机电工程学院,云南 昆明 650000;
    2.云南省三七资源可持续利用重点实验室,云南 昆明 650000
  • 收稿日期:2018-07-10 出版日期:2019-07-25 发布日期:2019-07-25
  • 通讯作者: 陈明方(1975年生),男;研究方向:机器人控制算法研究;E-mail:mfchen111@sina.com

Design and analysis of wind speed control system based on adaptive fuzzy PID

SAN Hongjun1,2,CHEN Hao1,CHEN Mingfang1,ZHANG Daoyi1,LIU Jinxin1,ZANG Jiaxiu1   

  1. 1.College of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650000, China;
    2.Key Laboratory of Panax Notoginseng in Yunnan Province, Kunming 650000, China
  • Received:2018-07-10 Online:2019-07-25 Published:2019-07-25

摘要:

针对传统PID风速调控响应速度慢、调节效率低的问题,设计了一种自适应模糊PID控制策略,用于风机的恒风速调控。所设计的控制系统由数据采集、模糊推理、指令执行以及数据反馈四部分组成。通过搭建的试验平台,对传统PID控制方法及自适应模糊PID控制方法进行了对比。实验结果表明:自适应模糊PID控制系统的风速调节速度快、效率高,调节效果优于传统PID。

关键词: 模糊PID, 模糊推理, 风机, 风速调控

Abstract:

Aiming at the problem of slow response speed and low regulation efficiency of traditional PID wind speed regulation and control, an adaptive fuzzy PID control strategy is designed for wind speed regulation and control of wind turbines. The control system consists of four parts: data acquisition, fuzzy reasoning, instruction execution and data feedback. Through the experimental platform built, the traditional PID control method and adaptive fuzzy PID control method are compared. The experimental results show that the adaptive fuzzy PID adjustment response speed is fast and the efficiency is high, at the same time the adjustment effect is obviously better than the traditional PID adjustment.

Key words: PID, fuzzy reasoning, draught fan, wind speed regulation

中图分类号: