最优粘合控制优化在地铁车辆行车安全中的应用

Optimization Optimization of the Optimal Bonding Control:the Application of Adhesion in the Safety of the Driving Safety of Subway Vehicles

列车的牵引力与轮轨间的粘着相互依存,而粘合控制是地铁牵引电机控制的重要组成部分,但粘着状态是难以估计的,检测设备的准确率和轮轨接触情况的影响均影响了粘着力的大小。文章采用全维状态观测器来观测电机负载转矩,对粘着控制进行优化,并通过牵引电机控制实现对轮轨间可用粘着力的最大程度利用。再结合最优粘合控制算法,对于牵引轮的轮对差异所导致的并联牵引电机转矩不平衡提出附有励磁补偿的控制策略。建立MATLAB/Simulink 模型进行实例仿真和现场试验验证。仿真结果表明:采用文章的最优粘合控制优化方法对粘着力的整体利用率满足地铁列车的设计要求。

The traction of the train is interdependent and the adhesion between the wheel rails,and the adhesion control is to the control motor control of the subway,but the state of adhesion is difficult to estimate.Magnitude of the force.This article uses a full-dimensional state observer to observe the motor load torque,optimize the adhesive control,and use the traction motor to achieve the maximum use of adhesion between the rails.Based on the optimal bonding control algorithm,the control strategy of inspirational compensation is proposed for the imbalance of the parallel torque of the traction wheel pair of the wheel of the traction wheel.Establish a Matlab/Simulink model for instance simulation and on-site test verification.The simulation results show that the overall utilization rate of the optimal adhesion control optimization method of this article is greater than 80%to meet the use requirements of subway trains.