铜业工程Issue(2)：19-26,8.DOI:10.3969/j.issn.1009-3842.2025.02.003
基于卡尔曼滤波器与蒙特卡罗模拟的矿石光电分选喷吹过程不确定性控制
Uncertainty Control of Ore Photoelectric Sorting Spray Process Based on Kal-man Filter and Monte Carlo Simulation
摘要
Abstract
Photoelectric sorting technology is widely used in modern mining operations,effectively improving ore selection grade and re-ducing processing costs.However,in practical applications,photoelectric sorting equipment is often affected by uncertainties such as belt speed fluctuations,communication delays,and the random movement of ore,leading to reduced sorting accuracy.To address this issue,this paper proposes a blow control method based on Kalman filtering.By dynamically estimating the belt speed and ore position and using Monte Carlo method to simulate system uncertainties,this approach effectively reduces sorting errors caused by belt speed fluctuations and communication delays.Simulation results show that Kalman filter-based blow control method improves sorting accura-cy by approximately 10%compared to the fixed time delay method,and blow timing delays are effectively controlled.This method pro-vides a new intelligent control solution for optical sorting equipment,with broad application prospects and significant practical value.关键词
光电分选/卡尔曼滤波/喷吹控制/蒙特卡罗方法/仿真分析Key words
photoelectric sorting/Kalman filtering/blow control/Monte Carlo method/simulation analysis分类
矿山工程引用本文复制引用
张义晶,怀杨杨,肖罡..基于卡尔曼滤波器与蒙特卡罗模拟的矿石光电分选喷吹过程不确定性控制[J].铜业工程,2025,(2):19-26,8.基金项目
国家重点研发计划项目(2023YFC3904200) （2023YFC3904200）
江西省自然科学基金杰出青年基金项目(20224ACB218002) （20224ACB218002）
江西省重大科技研发专项资助项目(20232ACE01010)资助 （20232ACE01010）
