摘要
为进一步提升高速列车运行效能,提出了一种考虑牵引电机功率损耗的高速列车节能速度跟踪控制算法。首先,考虑牵引电机电能损耗与列车运行速度、牵引力的非线性关系,构建高速列车运动学模型和包含电机损耗的列车运行能耗模型。然后,基于模型预测控制框架设计实时控制算法,以速度跟踪误差及整车运行能耗最小化为控制目标,采用动态规划算法求解最优电机运行个数,实现列车运行速度滚动优化和跟踪控制。最后,采用实际运行线路验证算法的有效性,仿真结果表明,所提控制算法比传统PID控制有着更好的速度跟踪效果,同时对列车牵引电机效率提升和列车能耗降低均起到显著作用。
In order to further improve the operation efficiency of high-speed trains,an energy-saving speed tracking control algorithm of high-speed train considering power loss of traction motors is proposed.First,considering the nonlinear relationship between the power loss of the traction motor and the running speed and traction of the train,a high-speed train kinematics model and a train running energy consumption model including motor loss are constructed.Then,based on the model predictive control framework,a real-time control algorithm is designed,with the speed tracking error and vehicle running energy minimization as the control goal,the dynamic programming algorithm is used to solve the optimal number of motor running,and the train running speed rolling optimization and tracking control are realized.Finally,the actual running line is used to verify the effectiveness of the algorithm.The simulation results show that the proposed control algorithm has a better speed tracking effect than the traditional PID control.At the same time,it plays a significant role in improving the efficiency of train traction motors and reducing train energy consumption.
作者
尤冰涛
赵紫宁
冯佳辉
付程成
YOU Bingtao;ZHAO Zining;FENG Jiahui;FU Chengcheng(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756)
出处
《现代计算机》
2021年第20期26-32,共7页
Modern Computer
关键词
电机损耗模型
模型预测控制
动态规划
节能驾驶
Motor Loss Model
Model Predictive Control
Dynamic Programming
Energy-Saving Driving
