露天矿分布式驱动无人驾驶车辆稳定性控制方法研究OA
Research on stability control methods of distributed driven unmanned driving vehicles in open-pit mines
露天矿区环境复杂多变,落石、水坑等障碍与松软、斜坡等路面情况交织形成极大的安全隐患,容易造成车辆侧滑、侧翻等危险,对于无人驾驶车辆的稳定性控制提出重大挑战,因此无人驾驶车辆在露天矿区环境下对失稳情况的处理是保证其安全运行的重要保障.四轮独立驱动电动轮矿用卡车是矿用无人驾驶线控车辆的主流发展方向,可以实现四轮独立扭矩控制,为实现车辆复杂控制策略提供基础条件.为了解决露天矿区无人驾驶车辆稳定性控制的问题,提出一种分层控制策略,对车辆稳定性表征量与处置措施进行研究,其中上层控制器通过建立二自由度车辆模型对无人驾驶车辆行驶过程中的横摆角速度与质心侧偏角理论值进行计算,同时监测车辆运行过程中的实际横摆角速度与质心侧偏角,基于横摆角速度误差与质心侧偏角误差设计滑膜跟随控制器分别计算附加横摆力矩与附加侧偏力矩;中层控制器根据失稳程度建立附加力矩分配模型,进而计算联合附加横摆力矩;下层控制器基于最优分配算法将附加合力矩合理分配至各个车轮,结合车辆纵向控制驱动力矩共同控制车辆驱动或制动.同时开展仿真测试,通过方向盘正弦转动、方向盘阶跃转动与车辆自动驾驶 3 个工况下的仿真测试,验证了分层控制策略的有效性.结果表明,通过稳定性控制可以有效提升无人驾驶车辆的稳定性,在循迹工况仿真测试中的弯道最大循迹误差减小 16.2%,且可以避免行驶过程中的轻微失稳.
The environment in open-pit mines is complex and changeable,with obstacles such as falling rocks and water pits interwoven with soft and sloping roads,posing significant safety hazards.It is prone to cause dangerous situations such as vehicle skidding or overturning.This poses a major challenge to the stability control of unmanned driving vehicles.Therefore,the handling of instability situations by unmanned vehicles in open-pit mine environments is crucial guarantee for ensuring the safe operation.Four-wheel independent drive electric mining trucks are the mainstream development direction of unmanned line-controlled vehicles in mining,which can achieve independent torque control of each wheel and provide a foundation situation for implementing complex vehicle control strategies.To solve the stability control problem of unmanned driving vehicles in open-pit mines,a hierarchical control strategy is proposed.The characterization of vehicle stability and corresponding countermeasures are studied.The upper-level controller calculates the theoretical values of yaw rate and center of mass side slip angle during the driving process of unmanned vehicles by establishing a two-degree-of-freedom vehicle model,while monitoring the actual yaw rate and center of mass side slip angle during vehicle operation.Based on the yaw rate error and center of mass side slip angle error,a sliding mode following controller is designed to calculate the additional yaw moment and additional side slip moment.The middle-level controller establishes an additional moment distribution model based on the degree of instability and then calculates the combined additional yaw moment.The lower-level controller rationally allocates the additional combined moment to each wheel based on the optimal allocation algorithm and,in combination with the longitudinal control driving moment,controls the vehicle's driving or braking.Meanwhile,simulation tests are conducted.Through simulation tests under three working conditions:sinusoidal steering wheel rotation,stepwise steering wheel rotation,and autonomous driving,the effectiveness of the hierarchical control strategy is verified.The results show that the stability of unmanned driving vehicles can be effectively improved through stability control.In the simulation test of the tracking condition,the maximum tracking error on the curve is lower by 16.2%,and minor instability during driving can be avoided.
宁满旭;刘政禹;李大伟;秋昊林
北京机械设备研究所,北京 100006北京机械设备研究所,北京 100006北京机械设备研究所,北京 100006北京机械设备研究所,北京 100006
矿业与冶金
无人驾驶稳定性控制滑模控制最优控制分层控制
unmanned drivingstability controlsliding mode controloptimalcontrolhierarchical control
《露天采矿技术》 2026 (2)
1-9,9
评论