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考虑舒适性的自动驾驶轨道列车牵引电机节能控制

Energy Saving Control of Traction Motor of Automatic Train with Consideration of Comfort
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摘要 为提升乘客在自动驾驶轨道列车中的体验感,保证自动驾驶轨道列车的安全运行,提出考虑舒适性的自动驾驶轨道列车牵引电机节能控制技术。构建自动驾驶轨道列车运动学模型,分析牵引和制动电机能耗。依据分析结果建立列车牵引电机节能控制目标函数,并以行驶速度、舒适性、准时性和精确停车设置约束条件。利用混沌算法和蛙跳算法改进标准差分进化算法求解目标函数,获取最优解,实现自动驾驶轨道列车牵引电机节能控制。实验结果表明,所提方法在预期速度跟踪性能、节能性、舒适性、精准停车和准点中表现更为优异,验证了所提方法应用下的自动驾驶轨道列车在满足乘客舒适性要求的基础上,获取了较好的牵引电机节能控制效果。 In order to enhance the experience of passengers in the automatic driving track train and ensure the safe operation of the automatic driving track train,an energy-saving control technology for the traction motor of the automatic driving track train considering comfort is proposed.The kinematics model of the automatic train is built,and the energy consumption of traction and braking motors is analyzed.Based on the analysis results,the energy saving control objective function of the train traction motor is established,and the constraints are set according to the driving speed,comfort,punctuality and accurate parking.Chaos algorithm and leapfrog algorithm are used to improve the standard differential evolution algorithm to solve the objective function,obtain the optimal solution,and realize the energy-saving control of the traction motor of the automatic driving rail train.The experimental results show that the proposed method performs better in the expected speed tracking performance,energy conservation,comfort,accurate parking and punctuality,and verify that the automatic driving rail train under the application of the proposed method achieves better energy-saving control effect of traction motor on the basis of meeting the passenger comfort requirements.
作者 高熙贺 GAO Xihe(School of Traffic and Surveying Engineering,Yangling Vocational and Technical College,Yangling 712100,China)
出处 《机械与电子》 2023年第10期29-34,38,共7页 Machinery & Electronics
基金 杨凌职业技术学院2021年科技创新项目(ZK21-39)。
关键词 牵引电机 自动驾驶轨道列车 节能控制 运动学模型 混合差分进化算法 traction motor automatic driving rail train energy-saving control kinematics model parallel hybrid differential evolution algorithm
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