基于自适应模糊PID的风速控制系统设计  

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

作　　者：伞红军[1,2] 陈浩 陈明方 张道义[1] 刘金鑫 臧家秀 SAN Hongjun;CHEN Hao;CHEN Mingfang;ZHANG Daoyi;LIU Jinxin;ZANG Jiaxiu(College of Mechanical and Electrical Engineering, Kunming University ofScience and Technology, Kunming 650000, China;Key Laboratory of Panax Notoginseng in Yunnan Province, Kunming 650000, China)

机构地区：[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

出　　处：《中山大学学报（自然科学版）》2019年第4期153-158,共6页Acta Scientiarum Naturalium Universitatis Sunyatseni

基　　金：国家重点研发计划项目(2017YFC1702503);云南省重大科技专项(2017RA010);昆明理工大学引进人才科研启动基金(KKZ3201601002)

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。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.

关 键 词：模糊PID 模糊推理 风机 风速调控 

分 类 号：TP202.7[自动化与计算机技术—检测技术与自动化装置]