Self-adaptive adhesion control system for train

• Main Authors: LING YUN, CHEN GANG, DAI SHENGWEI, YAN QINYUN, ZHOU WEILONG, YUAN CHUANLAI
• Format: Patent
• Language: Chinese; English
• Published: 04.07.2023
• Subjects: ENSURING THE SAFETY OF RAILWAY TRAFFIC; GUIDING RAILWAY TRAFFIC; LOCOMOTIVES; MOTOR RAILCARS; PERFORMING OPERATIONS; RAILWAYS; TRANSPORTING

According to the train self-adaptive adhesion control system, training of an adhesion coefficient neural network adjustment model can be carried out on the basis of a non-linear empirical formula for calculating adhesion coefficients, and only adaptive correction for train speed needs to be carried out; meanwhile, the adhesion coefficient is adaptively adjusted according to road condition data such as rail dryness and humidity and rail gradient during actual operation of the train, so that the maximum traction limit of the train can be changed in real time along with the change of the road condition of a road section, and train traction is performed as far as possible under the condition that wheel set idling does not occur. When the idling of the wheel set cannot be avoided, a nonlinear mathematical model is adopted to calculate an idling risk value, and a plurality of single threshold value judgment conditions of traditional wheel set idling and weighted judgment conditions under the condition that the sing