基于ANFIS-PID控制策略的主动悬架动力学性能研究

Study on Dynamic Performance of Active Suspension Basedon ANFIS-PID Control Strategy

主动悬架系统能显著提高车辆的行驶平顺性,是未来车辆悬架的发展方向,其关键问题是如何设计合适的控制规则,使车辆始终处于最优减振状态。因此,为了改善车辆的行驶平顺性,在1/4车辆主动悬架动力学模型的基础上,设计了一种自适应神经模糊推理系统的PID(ANFIS-PID)控制策略,并与传统PID控制策略进行了对比。结果表明:相比于PID控制的主动悬架,采用ANFIS-PID控制的主动悬架能够更有效地降低车身加速度和轮胎动载荷,进一步提高了车辆的行驶平顺性。

Active suspension system can significantly improve vehicle ride comfort,which is the development direction of vehicle suspension in the future. The key problem is how to design appropriate control rules to make the vehicle always in the optimal damping state. Therefore,for the sake of improving the ride comfort,based on the 1/4 vehicle active suspension dynamic model,an adaptive neural fuzzy inference system PID(ANFIS-PID)control strategy is designed and compared with the traditional PID control strategy. The results show that compared with PID control active suspension,ANFIS-PID control active suspension can reduce body acceleration and tire dynamic load more effectively,and further improve vehicle ride comfort.