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针对高速铁路客运专线无砟轨道板的自动化精调问题,提出一种新型智能精调器。首先对整个智能精调系统进行了概括性的介绍;然后对其控制算法进行了详细说明,通过构建轨道板精调的数学模型,推导用于定位控制的冗余方程,构建了理论基础,并选取Trust-Region Dogleg优化算法进行仿真求解。仿真表明,此算法能够保证所有几何参数的可辨识性,且迭代过程具备较好的鲁棒性。考虑实际实际精调操作误差,选取多组水平的测量噪声进行参数辨识,分析了不同水平的测量噪声对辨识误差均方根的影响,在较大的测量噪声影响下,各点定位精度依然能够满足要求。该算法经过了多次现场试验,均取得了良好的应用效果。
Aiming at the problem of automatic fine adjustment of ballastless track slab on high speed railway, a new type of smart fine adjustment device is proposed. First of all, the whole system of intelligent fine tuning is introduced briefly. Then the control algorithm is described in detail. The mathematical model of rail plate fine tuning is deduced, and the redundant equations for positioning control are derived, and the theoretical basis is established. Choose Trust-Region Dogleg optimization algorithm for simulation. Simulation shows that this algorithm can ensure the identifiability of all geometric parameters, and the iterative process has good robustness. Considering the actual actual operation error, selecting multiple sets of horizontal measurement noise for parameter identification, and analyzing the influence of different levels of measurement noise on the root mean square of identification error. Under the influence of large measurement noise, the positioning accuracy of each point can still be fulfil requirements. The algorithm after several field tests, have achieved good results.