基于机器视觉的煤矿井下皮带运输机自适应控制方法  

Adaptive control method of coal mine underground belt conveyor based on machine vision

作　　者：王立强 罗开成 李国威 Wang Liqiang;Luo Kaicheng;Li Guowei(Guoneng Shendong Coal Group Co.,Ltd.,Shaanxi Yulin,719000,China;Zhengzhou Coal Machinery Hydraulic Electric Control Co.,Ltd.,Henan Zhengzhou,450016,China)

机构地区：[1]国能神东煤炭集团有限责任公司,陕西榆林719000 [2]郑州煤机液压电控有限公司,河南郑州450016

出　　处：《机械设计与制造工程》2024年第10期47-51,共5页Machine Design and Manufacturing Engineering

摘　　要：煤矿井下皮带运输机容易受到传感信号影响,存在控制效果差的问题,为此提出基于机器视觉的煤矿井下皮带运输机自适应控制方法。采用机器视觉方法捕捉皮带运输机的实时状态,以皮带运输机的最佳状态变化参数作为惩罚因子建立约束函数,并求解最佳控制参数;建立模糊控制规则,比对不同状态偏差值对应的控制参数,利用自适应控制算法,实现皮带运输机自适应控制。实验数据证明:所提方法到达收敛点的时间为23 s,可在短时间内实现有效控制收敛,控制效果较好,能有效提高皮带运输机在煤矿井下的应用性能。Coal mine underground belt conveyors are easily affected by sensing signals and have poor control effects.Therefore,a machine vision based adaptive control method for coal mine underground belt conveyors is proposed.It uses the machine vision methods to capture the real-time status of the belt conveyor,establishes a constraint function with the optimal state change parameters of the belt conveyor as the penalty factor,and solves for the optimal control parameters;It builds fuzzy control rules,compares control parameters corresponding with different state deviation values,and uses adaptive control algorithms to achieve adaptive control of belt conveyors.Experimental data shows that the proposed method takes 23 seconds to reach the convergence point and can effectively control convergence in a short period of time.The control effect is good and can effectively improve the application performance of belt conveyors in coal mines underground.

关 键 词：机器视觉 皮带运输机 自适应控制 模糊控制规则 速度偏差 

分 类 号：TP159[自动化与计算机技术—控制理论与控制工程]