Adaptive control method and system based on train operating condition identification

An adaptive control system based on train operating condition identification, comprising:

• a multi-sensor fused adhesion characteristic state self-calibration observer configured to acquire operating state data of a train under different traction conditions;
• a data calculation module configured to calculate to obtain traction and braking performance data based on the acquired operating state data of the train under different traction conditions;
• a data integration module configured to combine the traction and braking performance data, line information data and operating control information to form a multi-sensor fused adhesion condition characteristic related data set;
• a clustering module configured to divide, based on the adhesion condition characteristic related data set, train adhesion conditions into Nz grades by adopting a fuzzy clustering-based false nearest neighbors algorithm, wherein Nz is a natural number, and
• N
• z
• ≥
• 2
• ;
• an identification module configured to identify a train current adhesion condition grade Nd based on a number Nz of train adhesion condition grades and current operating state data, wherein Nd is a natural number,
• N
• d
• ≤
• N
• z
• ;
• and
• N
• d
• ∈
• N
• z
• ;
• a mapping relationship establishing module configured to input the train current adhesion condition grade Nd and establish a mapping relationship between an adhesion coefficient and a maximum deceleration for train braking under the current adhesion condition grade;
• and
• a curve generation module configured to generate a train protection curve based on the mapping relationship between the adhesion coefficient and the maximum deceleration for train braking under the current adhesion condition grade.