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PLC技术模式下的无人矿车运行轨迹纠偏控制方法

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矿区地质构造特殊,路面状况复杂,无人矿车在行驶中可能遇到路面起伏和颠簸的情况.而这些不平坦的路况会对车辆的悬挂系统产生冲击,进而导致车辆横向和纵向的加速度变化,轨迹控制无法应对车辆的非线性行为,从而导致轨迹偏离.预设参数或条件的控制策略不足以应对实际的道路条件和扰动,导致轨迹偏离的更严重.为了解决这个问题,本文基于动力学理论对无人矿车的行驶轨迹进行数学描述,并确定导致轨迹偏离的位姿、角度等影响因子.采用关联规则优化转角计算矿车行驶的控制增益系数;通过传感器提供的实时数据,获取无人矿车的实际姿态和期望姿态.通过比较实际姿态和期望姿态之间的差异,计算出角度偏差.借助PLC系统和转角控制增益的参考值,计算出需要调整的角速度.构建PLC非线性滑膜切换函数,依据指数趋近规律,将轨迹偏离影响因子作为纠偏变量,计算在符合规律下运行轨迹的行驶方向与角度方向间的差值.通过滑膜控制器对差值进行调节,使得无人矿车逐渐趋近于期望姿态.考虑到环境参数的影响,通过调整加速值来补偿实际轨迹和期望轨迹之间的角度偏差,在不同的路面状况下进行轨迹纠偏微分控制.实验数据证明,所提方法控制精准度较高,在复杂工况环境下也能实现高效控制.
A method for correcting the trajectory of unmanned mining vehicles under PLC technology mode
The geological structure of the mining area is unique,and the road conditions are complex.Unmanned mining vehicles may encounter road undulations and bumps during operation.And these uneven road conditions will have an impact on the suspension system of the vehicle,leading to changes in the lateral and longitudinal acceleration of the vehicle.Trajectory control cannot cope with the nonlinear behavior of the vehicle,resulting in trajectory deviation.The control strategy with preset parameters or conditions is in-sufficient to cope with actual road conditions and disturbances,resulting in more severe trajectory deviation.To solve this problem,this article mathematically describes the driving trajectory of unmanned mining vehicles based on dynamic theory,and determines the influencing factors such as pose and angle that cause trajectory deviation.Using association rules to optimize the turning angle and cal-culate the control gain coefficient of mining vehicle operation;Obtain the actual and expected attitude of the unmanned mining vehicle through real-time data provided by sensors.Calculate the angle deviation by comparing the difference between the actual posture and the expected posture.Using the PLC system and reference values for angle control gain,calculate the angular velocity that needs to be adjusted.Construct a nonlinear sliding film switching function for PLC,based on the exponential convergence law,use the trajectory deviation influence factor as the correction variable,and calculate the difference between the driving direction and angle direction of the trajectory under the rule.By adjusting the difference through the sliding film controller,the unmanned mining vehicle gradually approaches the desired attitude.Considering the influence of environmental parameters,the angle deviation between the actual trajec-tory and the expected trajectory is compensated by adjusting the acceleration value,and trajectory correction differential control is car-ried out under different road conditions.Experimental data shows that the proposed method has high control accuracy and can achieve efficient control even in complex working conditions.

PLC technologyunmanned mining vehiclesoperation trajectory correction controlgain coefficientrule of expo-nential convergence law

王荣、陈曦

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国网能源哈密煤电有限公司大南湖二矿,新疆维吾尔自治区 哈密市 839000

PLC技术 无人矿车 运行轨迹纠偏控制 增益系数 指数趋近规律规则

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)