Li Jian, Jiang Yuqiang
School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Sensors (Basel). 2024 Apr 25;24(9):2739. doi: 10.3390/s24092739.
Currently, the main solution for braking systems for underground electric trackless rubber-tired vehicles (UETRVs) is traditional hydraulic braking systems, which have the disadvantages of hydraulic pressure crawling, the risk of oil leakage and a high maintenance cost. An electro-mechanical-braking (EMB) system, as a type of novel brake-by-wire (BBW) system, can eliminate the above shortcomings and play a significant role in enhancing the intelligence level of the braking system in order to meet the motion control requirements of unmanned UETRVs. Among these requirements, the accurate control of clamping force is a key technology in controlling performance and the practical implementation of EMB systems. In order to achieve an adaptive clamping force control performance of an EMB system, an optimized fuzzy proportional-integral-differential (PID) controller is proposed, where the improved fuzzy algorithm is utilized to adaptively adjust the gain parameters of classic PID. In order to compensate for the deficiency of single-close-loop control and adjusting the brake gap automatically, a cascaded three-closed-loop control architecture with force/position switch technology is established, where a contact point detection method utilizing motor rotor angle displacement is proposed via experiments. The results of the simulation and experiments indicate that the clamping force response of the proposed multi-close-loop Variable Universe Fuzzy-PID (VUF-PID) controller is faster than the multi-closed-loop Fuzzy-PID and cascaded three-close-loop PID controllers. In addition, the chattering of braking force can be suppressed by 17%. This EMB system may rapidly and automatically finish the operation of the overall braking process, including gap elimination, clamping force tracking and gap recovery, which can obviously enhance the precision of the longitudinal motion control of UETRVs. It can thus serve as a BBW actuator of mine autonomous driving electric vehicles, especially in the stage of braking control.
目前,地下电动无轨橡胶轮胎车辆(UETRVs)制动系统的主要解决方案是传统液压制动系统,该系统存在液压爬行、漏油风险和高维护成本等缺点。机电制动(EMB)系统作为一种新型线控制动(BBW)系统,可以消除上述缺点,并在提高制动系统的智能水平方面发挥重要作用,以满足无人驾驶UETRVs的运动控制要求。在这些要求中,夹紧力的精确控制是控制性能和EMB系统实际应用的关键技术。为了实现EMB系统的自适应夹紧力控制性能,提出了一种优化的模糊比例积分微分(PID)控制器,其中利用改进的模糊算法自适应调整经典PID的增益参数。为了弥补单闭环控制的不足并自动调整制动间隙,建立了一种采用力/位置切换技术的级联三闭环控制架构,并通过实验提出了一种利用电机转子角位移的接触点检测方法。仿真和实验结果表明,所提出的多闭环变论域模糊PID(VUF-PID)控制器的夹紧力响应比多闭环模糊PID和级联三闭环PID控制器更快。此外,制动力的抖动可降低17%。该EMB系统可以快速自动完成整个制动过程的操作,包括间隙消除、夹紧力跟踪和间隙恢复,这可以显著提高UETRVs纵向运动控制的精度。因此,它可以作为矿山自动驾驶电动汽车的BBW执行器,特别是在制动控制阶段。