基于ANN的汽车磁力悬架系统参数优化  

Optimization of Parameters of Magnetic Suspension Based on Artificial Neural Network

作　　者：解来卿[1] 王良曦[1] 李云超[1] 

机构地区：[1]装甲兵工程学院,北京100072

出　　处：《车辆与动力技术》2005年第3期32-35,共4页Vehicle & Power Technology

摘　　要：该文通过分析永磁弹性元件的特性,建立了采用永磁弹性元件的1/4汽车非线性动力学模型,然后运用人工神经网络对其悬架参数进行了优化.优化实例结果表明,优化后的参数较好的改善了汽车的行驶平顺性.In this paper, considering the speciality of permanent magnet spring, a quarter car nonlinear dynamics model adopting this spring is built. Then its suspension parameters are optimized using Artificial Neural network. The results of an optimization example indicate that the car's ride performance is well improved after optimization.

关 键 词：磁力悬架 1/4模型 神经网络 参数优化 

分 类 号：U463.33[机械工程—车辆工程]