基于模糊PID的矿井提升机自动控制系统设计  

Design of Automatic Control System for Mine Hoist Based on Fuzzy PID

作　　者：付兴烨[1] 李美丽[1] 程淼 薛玉翠[1] 孙宇轩[1] FU Xingye;LI Meili;CHENG Miao;XUE Yucui;SUN Yuxuan(School of Electrical Engineering,Suihua University,Suihua 152061,China)

机构地区：[1]绥化学院电气工程学院,黑龙江绥化152061

出　　处：《煤炭技术》2022年第8期215-217,共3页Coal Technology

基　　金：黑龙江省省属本科高校基本科研业务费项目(YWK10236210230)。

摘　　要：针对矿井提升机速度曲线进行分析,完成矿井提升机动力学和驱动电机数学建模,从而获取矿井提升机等效传递函数;完成模糊PID控制系统模型搭建,依据专家经验进行模糊规则定制,并基于Mamdani型算法进行模糊推理实现PID参数实时整定;最后建立仿真模型,模拟实际矿井提升机运行速度曲线进行仿真分析,模糊PID控制算法较传统PID控制算法速度均方根误差减少了55%,证明了模糊PID的精度更高,稳定性更优。The general running speed curve of the mine hoist is analyzed, and the mathematical modeling of the mine hoist dynamics and drive motor is completed to obtain the equivalent transfer function of the mine hoist. The fuzzy PID control system model is constructed, and the fuzzy rules is customized based on expert experience. Based on the Mamdani algorithm, fuzzy reasoning is performed to complete the real-time tuning of PID parameters. Finally, the simulation model is built, and the actual mine hoist running speed curve is simulated for simulation analysis. Compared with the traditional PID control algorithm, the fuzzy PID control algorithm reduces the speed root mean square error 55%, which proves that the fuzzy PID has higher accuracy and better stability.

关 键 词：模糊PID 矿井提升机 Mamdani型算法 仿真分析 

分 类 号：TD633[矿业工程—矿山机电] TP273[自动化与计算机技术—检测技术与自动化装置]