基于粒子群优化模糊PID的骨料称重控制  

Aggregate Weighing Control Based on Particle Swarm Optimization with Fuzzy PID Control

作　　者：何全龙 贾志绚[1] HE Quan-long;JIA Zhi-xuan(School of Vehicle and Transportation Engineering,Taiyuan University of Science and Technology,Taiyuan 030024,China)

机构地区：[1]太原科技大学车辆与交通工程学院,山西太原030024

出　　处：《物流工程与管理》2023年第6期27-30,共4页Logistics Engineering and Management

摘　　要：骨料称重精度受到下料过程中,骨料对料斗的冲击、料斗的振动以及骨料的大小不均匀等因素影响,常规的PID控制已经不能保证系统的称重精度。文中提出了一种将粒子群优化算法与模糊PID控制相结合的骨料定量称重控制系统,并在MATLAB/Simulink中建立了仿真模型。仿真结果表明:骨料定量称重控制系统采用粒子群优化模糊PID控制后,系统的响应速度更快、超调量更小、到达稳态的时间更短,骨料称重装置的称重精度及称重效率也得到了提高。The weighing accuracy of aggregate is affected by such factors as the impact of aggregate on the hopper,the vibration of the hopper and the uneven size of aggregate during the blanking process.Conventional PID control can no longer guarantee the weighing accuracy of the system.In this paper,an aggregate quantitative weighing control system combining particle swarm optimization algorithm with fuzzy PID control is proposed,and a simulation model is built in MATLAB/Simulink.The simulation results show that ofter the particle swarm optimization with fuzzy PID control is adopted in the aggregate quantitative weighing control system,the response speed of the system is faster,the overshoot is smaller,the time to reach the steady state is shorter,and the weighing accuracy and efficiency of the aggregate weighing device are improved.

关 键 词：定量称重 PID 粒子群 仿真分析 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]