具有模糊约束的广义预测控制在高速列车横向半主动悬挂控制系统中的应用  

Application of Generalized Predictive Control with Fuzzy Constraints in the High-Speed Railway Lateral Semi-Active Suspension Control System

作　　者：李明[1] 金光大[1] 翟冰[1] 

机构地区：[1]西南交通大学电气工程学院,成都610031

出　　处：《现代计算机（中旬刊）》2014年第5期12-15,30,共5页Modern Computer

摘　　要：为了改善列车在高速运行状态下的平稳性以及提高乘坐舒适度,采用具有模糊约束的广义预测控制算法对17自由度的高速列车横向振动模型进行仿真分析,结果与传统被动悬挂方式进行比较,横向减振效果得到明显提高,具有较高的现实意义。In order to improve the train running at high speed under the state of stability and improve ride comfort, uses the generalized predictive control with fuzzy constraints to 17 degrees of freedom of the high-speed railwaylateral vibration model for the simulation analysis, com- pared with traditional passive suspension method, the results show that it has a considerable improvement of lateral vibration effect and high practical significance.

关 键 词：广义预测 模糊约束 半主动 悬挂 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]