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序列二次规划算法下城市智能交通运行节能优化控制

Energy saving optimization control of urban intelligent transportation under sequential quadratic programming algorithm

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【作者】 杨楠肖军

【Author】 YANG Nan;XIAO Jun;College of Information Science and Engineering,Experiment Center,Northeastern University;

【机构】 东北大学信息科学与工程学院实验中心

【摘要】 针对交通基础设备、牵引电机、制动装置等会产生大量能耗的问题,提出基于序列二次规划(Sequential quadratic programming,SQP)算法的城市智能交通运行节能优化控制方法。基于城市智能交通运行过程,对交通列车开展运动学分析;根据交通运行牵引总能耗,构建交通运行节能控制模型,并采用SQP算法对模型求解,从而实现城市智能交通运行在线节能优化控制。实验结果表明,该方法的实用性强、鲁棒性高。

【Abstract】 Aiming at the problem of large energy consumption caused by traffic infrastructure equipment, traction motor, brake device, etc., an energy-saving optimization control method based on Sequential quadratic programming(SQP) algorithm for urban intelligent transportation operation was proposed. Based on the operation process of urban intelligent transportation, kinematics analysis of traffic train is carried out.According to the total energy consumption of traffic operation traction, a traffic operation energy-saving control model is constructed, and SQP algorithm is used to solve the model, so as to realize online energy-saving optimization control of urban intelligent traffic operation. The experimental results show that the method carries out energy saving optimization control performance test and regeneration energy utilization test, which verifies the practicability and robustness of the method.

【基金】 国家青年科学基金项目(61802152);辽宁省普通高等教育本科教学改革研究项目(辽教办[2021]254号,编号:204)
  • 【文献出处】 吉林大学学报(工学版) ,Journal of Jilin University(Engineering and Technology Edition) , 编辑部邮箱 ,2024年08期
  • 【分类号】TP18;U495
  • 【下载频次】19
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