基于自适应模糊PID控制的猪舍温湿度控制系统研究  

Piggery temperature and humidity control system based on adaptive fuzzy PID control

作　　者：冯江[1] 林升峰 王鹏宇 王德福 刘洪贵 FENG Jiang;LIN Shengfeng;WANG Pengyu;WANG Defu;LIU Honggui(School of Electrical and Information,Northeast Agricultural University,Harbin 150010,China)

机构地区：[1]东北农业大学电气与信息学院,哈尔滨150030

出　　处：《东北农业大学学报》2018年第2期73-86,共14页Journal of Northeast Agricultural University

基　　金：黑龙江省教育厅科研项目(12541041);国家重点研发计划项目(2016YFD0701300);农业部生猪产业体系(CARS-35)

摘　　要：我国北方猪舍冬季室内外温差大,影响温湿度控制精度。文章基于自适应模糊PID控制算法研究母猪舍温湿度控制。该算法具有超调量小、响应速度快、鲁棒性强优点,可提高寒地猪舍温湿度控制精度。仿真试验数据表明,该算法系统超调量为2.57%,系统调控时间较原有PID控制算法调控时间缩短57.56%;实测结果表明,基于该算法改进温湿度控制系统最大温湿度偏差值分别为0.61℃和6.86%,较原有PID控制算法调控温湿度偏差分别减少1.8℃和2.21%,研究可为我国北方寒地猪场冬季养殖管理提供更精准温湿度环境保障。In winter,the difference between indoor and outdoor temperature of the north piggery is large,which has great influence on the accuracy of temperature and humidity control.Based on adaptive fuzzy PID control algorithm,this paper studied the temperature and humidity control of female piggery.With the advantages of small overshoot,fast response and strong robustness,this algorithm improved the temperature and humidity control accuracy.The simulation results showed that the overshoot of the algorithm was 2.57%.The control time of the system was reduced by 57.56%compared with the original PID control algorithm.The actual experimental data showed that the maximum temperature and humidity deviations of temperature and humidity control system based on the improved algorithm were 0.61℃and 6.86%,which reduced by 1.8℃and 2.21%,respectively,compared with the original PID control algorithm.Therefore,it provides reliable temperature and humidity environment's protection for the winter breeding management in the north of China.

关 键 词：猪舍温度 猪舍湿度 模糊控制 传统PID控制 自适应模糊PID 

分 类 号：S767.5[农业科学—森林保护学] X172[农业科学—林学]