噪声与振动控制Issue(1)：21-25,5.DOI:10.3969/j.issn.1006-1335.2016.01.005
列车主动悬挂预测控制算法研究
Study on the Predictive Control Algorithm for Train’s Active Suspension Systems
摘要
Abstract
In order to effectively reduce the vibration of high-speed trains due to uncertain track interference incentives, an algorithm for active suspension prediction control based on a typical orthonormal base function, the Laguerre function, was proposed and studied. The state space model of the train’s active suspension system was set up. Regarding this model as a predictive control model and combined with the basic principle of rolling optimization in predictive control, the predictive controller for the active suspension system of the high-speed train in continuous time domain was designed. The simulation results show that the designed predictive controller can optimize the active vibration control performance of the high-speed train and improve the ride comfort of vehicles.关键词
振动与波/轨道干扰激励/主动悬挂/正交基函数/状态空间模型/预测控制器Key words
vibration and wave/track interference incentive/active suspension/orthogonal base functions/state space model/predictive controller分类
交通工程引用本文复制引用
曹青松,王明翔,陶晶..列车主动悬挂预测控制算法研究[J].噪声与振动控制,2016,(1):21-25,5.基金项目
国家自然科学基金（51265009）；华东交通大学研究生创新专项资金项目 （）
