Re-adhesion Optimization Control Strategy for Metro Traction
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摘要: 为充分利用轮轨间粘着力,保障列车牵引/制动性能的发挥,提出基于全维状态观测器的地铁牵引传动的再粘着优化控制方法,当检测到车轮发生空转/打滑时,可根据转矩、速度等信息快速搜寻到当前路况下的最大粘着峰值点,并通过对给定转矩的动态调整,实现轮轨间最优的粘着利用.为兼顾系统的稳定性和动态响应性能,提出全维渐近状态观测器的极点配置方法,并建立了MATLAB/Simulink模型进行实例仿真和现场试验验证.试验结果表明:采用本文的控制方法再粘着的整体利用率大于80%,满足地铁列车的设计要求.Abstract: To make full use of the adhesion force between wheels and tracks and guarantee the train traction/brake performances, a re-adhesion optimization control strategy based on full-dimension state observer was proposed. When detecting slip/slide phenomena, this method could realize the optimal adhesion utilization by searching the adhesion summit zone quickly and adjusting the given torque dynamically according to the calculated AC motor torque and rotor angular velocity. The closed-loop poles assignment was introduced to ensure the control system stability and dynamic response performance. The proposed control strategy was simulated through a MATLAB/Simulink model and then verified by field experiments. The experimental results show that the whole re-adhesion efficiency using the proposed control strategy is greater than 80%, which meets the metro traction demands.
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