Adhesion Control Method for EMU
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 10
Abstract
Objective Given the high operating speeds, minimal residual acceleration margin, and open-air track conditions of EMU (electric multiple units), as well as the deficiencies in conventional combination correction methods such as poor accuracy in criterion extraction and significant torque adjustment losses. It is aimed to optimize EMU adhesion utilization by analyzing and improving speed acquisition, fault identification, criterion extraction, and torque adjustment. Method A segmented T-method and median filtering method for speed acquisition is employed, and faulty speed data is identified and substituted to reduce the impact of speed interference/faults on adhesion control. The acceleration difference impact rate is used instead of impact rate and the differentiator is substituted with a high-pass filter to minimize the impact of complex track surface conditions on adhesion criterion extraction. For torque adjustment, it latches the torque at the previous wheel slip/skid trigger moment and uses this as a reference to calculate the reducing and increasing torque step sizes in real-time. The reducing and increasing step sizes are divided into 10 segments, executed from large to small to minimize torque losses. The feasibility of these methods is verified through experiments using a type of EMU as example. Result & Conclusion Experimental results demonstrate that during the entire acceleration and deceleration process of anti-slip and anti-skid tests, the deviation of the axle speed from the reference speed is limited. Torque adjustments do not exhibit significant repeated fluctuations, resulting in relatively less train impact. The traction and braking test data calculation analysis show that the adhesion utilization rates of traction anti-slip and braking anti-skid are both greater than 90%, effectively improving adhesion utilization.
Authors and Affiliations
Fayun MA, Jiabo ZHANG, Cunxu MIAO, Xianqi LIN, Qilin YANG, Fanfei ZENG
Keywords
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- EP ID EP749244
- DOI 10.16037/j.1007-869x.2024.10.041
- Views 42
- Downloads 0
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