摘要
研究了以车体加速度统计值最优为控制目标的半主动悬挂神经网络自适应控制方法 ,该方法对阻尼器件的响应特性要求低 ,可以降低成本 ,便于实现。横向半主动悬挂模型仿真结果表明 ,该控制方法算法简单 。
The nerve network self adaptive control method of the semi automatic suspension with the optimum statistic value of carbody acceleration as the control target is researched. The method has low requirement on the response characteristics of the damping devices,can reduce the cost and is easy to realize.The simulation results of the lateral semi automatic suspension model show that the calculation of the control method is simple,and the method can be adapted for the track excitation and change of vehicle parameters.
出处
《铁道车辆》
2002年第5期16-18,共3页
Rolling Stock
关键词
半主动悬挂
统计最优
自适应控制
神经网络
铁路车辆
semi automatic suspension
optimum in statistics
self adaptive control
nerve network
