Weighted parameter adhesion control method and rolling stock adopting same
Weighted parameter adhesion control method and rolling stock adopting same
- Neue Suche nach: XU FENG
- Neue Suche nach: LI SHUAI
- Neue Suche nach: LIU XIAOGANG
- Neue Suche nach: DONG YINGSHUI
- Neue Suche nach: HU YULIN
- Neue Suche nach: XU FENG
- Neue Suche nach: LI SHUAI
- Neue Suche nach: LIU XIAOGANG
- Neue Suche nach: DONG YINGSHUI
- Neue Suche nach: HU YULIN
The invention relates to the technical field of electric traction and transmission control of railway locomotives and vehicles, and particularly discloses a weighting parameter adhesion control method and a locomotive and vehicle adopting the method. According to the method, data exchange between a control system and a railway department is achieved through the internet technology, so that the road condition of a road section where a locomotive is about to pass is obtained in time, and the adhesive force between a front rail and a driving wheel is obtained conveniently in time; and on the other hand, the operation states of the locomotive on the rail under various road conditions are collected and analyzed, a neural network model used for calculating a K value is established, and the adhesion coefficient K of the rail section of the area where the locomotive is going to pass is obtained by combining the obtained various data of the area where the locomotive is going to pass so as to guide the operation of the adhesion device. And the slipping condition of the driving wheel under the action of the adhesive is obtained through the sensor, and the neural network is trained, so that the result is as accurate as possible.
本发明涉及铁路机车车辆电力牵引与传动控制技术领域，具体公开了一种加权参数粘着控制方法及采用该方法的机车车辆。所述方法利用互联网技术让控制系统和铁路部门交换数据，从而及时获得机车将要经过的路段的路况，方便及时的得到前方铁轨和动轮之间的粘着力；另一方面，通过对各种路况下机车在铁轨上运行的状态进行收集分析，建立用于计算K值的神经网络模型，再结合获得的机车将要通行区域的各种数据，得出要通行区域铁轨路段的粘着系数K，以指导粘着器的工作，并通过传感器获取动轮在粘着器作用下的打滑情况，对神经网络进行训练，从而使得结果尽量准确。
Dokumentinformationen
Weighted parameter adhesion control method and rolling stock adopting same
一种加权参数粘着控制方法及采用该方法的机车车辆
2022-12-23
Patent
Elektronische Ressource
Chinesisch
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