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矿井提升机节能运行的行程控制方法
引用本文:张梅,胡雪雪. 矿井提升机节能运行的行程控制方法[J]. 工矿自动化, 2021, 47(2)
作者姓名:张梅  胡雪雪
作者单位:安徽理工大学电气与信息工程学院,安徽淮南232001;安徽理工大学电气与信息工程学院,安徽淮南232001
基金项目:安徽高校自然科学研究项目(KJ2020A0309)。
摘    要:针对目前矿井提升机采用S形速度曲线进行行程控制时最大速度、加速度、急动度都是根据《煤矿安全规程》和专家经验给出固定值而导致提升机运行能耗较大的问题,提出了一种矿井提升机节能运行的行程控制方法。分析了矿井提升机S形速度曲线的数学模型;给出了矿井提升机1次提升能耗关于提升机运行速度权重和加速度的表达式;利用模拟退火-遗传算法求解提升机1次提升能耗最小时的提升机运行速度权重和加速度,进而确定提升机运行最大速度、提升周期、急动度等S形速度曲线参数,利用该确定的S形速度曲线来控制提升机行程。仿真结果表明,该方法可降低提升机运行能耗9.14%,达到节能目的。

关 键 词:矿井提升机  节能运行  行程控制  S形速度曲线  模拟退火算法  遗传算法

Stroke control method for energy-saving operation of mine hoist
ZHANG Mei,HU Xuexue. Stroke control method for energy-saving operation of mine hoist[J]. Industry and Automation, 2021, 47(2)
Authors:ZHANG Mei  HU Xuexue
Affiliation:(School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China)
Abstract:At present,when the S-shaped speed curve is used for stroke control of mine hoist,the maximum speed,acceleration and jerk are fixed values according to Coal Mine Safety Regulations and experts'experience.Therefore the operation energy consumption of the hoist is relatively large.To solve this problem,a stroke control method for energy-saving operation of mine hoist is proposed.The mathematical model of mine hoist S-shaped speed curve is analyzed.The expression of mine hoist one-time hoist energy consumption about hoist operation speed weight and acceleration is proposed.The simulated annealing-genetic algorithm is applied to solve the hoist operation speed weight and acceleration when one-time hoist energy consumption of the hoist is the smallest.Furthermore,the S-shaped speed curve parameters such as the maximum hoist operation speed,hoist period and jerk are determined.The determined S-shaped speed curve is used to control the hoist stroke.The simulation results show that the method can reduce the energy consumption of hoist operation by 9.14%and achieve the purpose of energy saving.
Keywords:mine hoist  energy-saving operation  stroke control  S-shaped speed curve  simulated annealing algorithm  genetic algorithm
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