基于多环嵌套的矿山车辆铰接系统差动折腰转向控制策略

Differential folding steering control strategy of mining vehicle articulated system based on multi-loop nesting

  • 摘要: 铰接车辆在随动折腰时存在滞后性,特定工况下其转向特性还可能呈现非线性特征。为进一步提升矿山车辆铰接转向的操控性能,采用位置−速度双闭环结构对随动折腰过程进行协同控制,并根据横摆运动误差对随动目标进行实时补偿,在此基础上,针对差动转向构型,提出了一种基于多环嵌套的差动折腰转向策略。构建包含铰接矿车前、后车体水平运动及车轮旋转运动的8自由度非线性动力学模型,通过对其折腰转向过程的时域分析,确定系统位置和速度闭环控制参数,并基于控制器频率特性,对比分析单、双环控制下随动折腰系统的穿越频率、相位延迟以及带宽分布。在位置环的输入端,也即折腰参考位置的计算中,以车体实际横摆运动偏差为依据对驾驶员期望折腰位置进行正补偿,其中,横摆角速度参考点通过线性离散化的8自由度差动转向模型实时计算获得,由此形成了多环嵌套结构。基于MATLAB/Simulink数值仿真平台及分布式电驱动折腰转向比例样机实验平台,对折腰转向控制策略进行验证,结果表明:在良好路面上,与原单环控制相比,多环嵌套控制策略在5º、10º、15º的阶跃转向测试中,折腰角上升时间分别减少了56.8%、50%、51%,在幅值为10º、20º、30º且频率为0.8 Hz的正弦转向角输入测试中,相位延迟分别减小了75.6%、80.4%、75.4%,在稳定转向的同时,系统带宽得以提升;在低附着路面测试中,多环嵌套控制策略可使车辆在湿滑路面下的横向位置偏差减少56.8%,横摆角速度相位差减少40.3%,显示出比单环控制更好的轨迹跟踪能力。

     

    Abstract: There is a hysteresis of articulated vehicles when they follow the folding motion, and their steering characteristics may also show non-linear characteristics under specific operating conditions. To further improve the handling performance of articulated steering vehicles, a double closed-loop structure of position and velocity is adopted to collaboratively control the folding process, and real-time compensation of the followed target is carried out according to the yaw motion error. On this basis, a differential folding steering strategy based on multi-loop nesting is proposed for the differential steering configuration. An 8-DOF nonlinear dynamics model of the articulated mining vehicle containing the horizontal motion of the front and rear bodies and the rotational motion of the wheels is constructed, and the position and velocity closed-loop control parameters of the system are determined through the time-domain analysis of the folding steering process. The crossover frequency, phase delay, and bandwidth distribution of the follow-up folding system under the single-loop and double-loop control are comparatively analyzed based on the frequency characteristics of the controllers. In the input of the position loop, i.e. the calculation of the folding reference position, the driver's desired folding position is positively compensated based on the actual yaw motion deviation of the vehicle body, where the reference point of the yaw velocity is obtained by real-time computation of a linearly discretized 8-DOF differential steering model, thus forming a multi-loop nested structure. Based on the MATLAB/Simulink numerical simulation platform and the articulated steering proportional prototype experimental platform of the distributed electric driven, the folding steering control strategy is verified. The results show that, on the good road surface, compared with the original single-loop control, the folding angle rise time of the multi-loop nested control strategy is reduced by 56.8%, 50%, and 51%, respectively, in the step steering test of 5°, 10°, and 15°, and the phase delay is reduced by 75.6%, 80.4%, and 75.4%, respectively, in the sinusoidal steering angle input test with the amplitude of 10°, 20°, and 30° and the frequency of 0.8 Hz. The system bandwidth is increased while the steering is stabilized. In the test on low adhesion road, the multi-loop nested control strategy can reduce the lateral position deviation of the vehicle by 56.8%, and the phase deviation of the yaw velocity by 40.3%, which shows better trajectory tracking capability than the single-loop control.

     

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