半主动减振器控制算法仿真及实现

Simulation and realizing a semi-active damper control algorithm

对铁道机车车辆半主动控制减振器控制算法进行了理论研究、仿真及实现,并进行动力学试验验证算法。提出一种根据振动加速度,得到振动速度的瞬时频率与幅值,基于神经网络控制策略,实现半主动减振器控制阻尼参数可调,适用于各种路况、速度等级,满足提速与乘坐舒适度的要求。

A semi-active shock absorber control algorithm of railway vehicles was studied theoretically, simulated and realized. The dynamic tests validate the algorithm. Based on vibration accelerations, getting instantaneous frequency and amplitude of vibration velocity, a control strategy was proposed based on neural network. It was shown that using it can realize adjustable damping parameters with a semi-active damper; the control strategy is applicable for various railway situations and various levels of running speed; it can meet the requirements of speeding up and comfortable level.