计算机工程与应用Issue(21)：259-264,6.DOI:10.3778/j.issn.1002-8331.1310-0200
城轨列车自动驾驶广义预测控制器的算法研究
Study of ATO control algorithm in urban rail transit based on generalized predic-tive control
摘要
Abstract
In recent years, rail transportation is developing very rapidly, of which ATO device, directly affecting the opera-tion of urban rail safety and efficiency, is responsible for the train traction and braking. ATO control algorithms during recent years are too complex or requiring iterative solutions and computation time uncertain. So they only have theoretical significance and are difficult to realize in engineering. Generalized predictive control algorithm is simple, efficient and easy to implement, but its initial design doesn’t consider the special needs of ATO control. By adding overshoot-reduction item in the optimization target to re-derive predictive input expression, and input saturation constraints, and using smooth quadratic curve in designing traction and braking target curve, passengers’safety and comfort are ensured. Through simulation, the algorithm proposed in this paper is proven to be ease of use, safe and efficient.关键词
列车自动驾驶系统(ATO)/城市轨道交通/广义预测控制器/超调抑制/输入约束/平滑目标曲线Key words
Automatic Train Operation(ATO)/urban rail transit/Generalized Predictive Control(GPC)/overshoot reduc-tion/input constraints/smooth target curve分类
交通工程引用本文复制引用
赵文天,郜春海..城轨列车自动驾驶广义预测控制器的算法研究[J].计算机工程与应用,2015,(21):259-264,6.基金项目
城市轨道交通北京实验室资助；城市轨道交通自动化与控制北京市重点实验室资助；城市轨道交通CBTC系统北京市高等学校工程研究中心资助；国家高技术研究发展计划（863）（No.2011AA110502）。 （）
