摘要
本文建立了四分之一半主动悬架的数学模型。根据系统参数时变的特点 ,将模糊逻辑控制方法和小脑模型神经网络结合形成了一种新的智能控制策略 :模糊小脑模型神经网络 (FCMAC) ,给出了FCMAC的算法 ,并利用FCMAC对系统进行在线控制 ,试验结果表明 :在正弦和随机两种信号激励下 ,利用FCMAC控制策略可使半主动悬架簧载质量垂直加速度均方根值分别下降 2 6 19%和 2 4 96 %。文章最后指出了该控制策略需要进一步解决的问题。
The mathematics model of semi-active quarter -c oach suspension was founded. According to the characteristics of time-varying o f parameters and time-delay of the semi-active suspension, a new intelligent c ontrol-FCMAC algorithm based on Fuzzy logic control techniques was presented and used to perform online control of semi-active suspension, both information ret rieval and learning rules were described by algebraic equations.The results of e xperiment showed,excited by sinusoidal input and random disturbance input,FCMAC control strategy can reduce the value of mean square root of vertical accelerati on of semi-active suspension system to be lower 26 19%和24 96% in compared w ith the open-loop.The further investigation of this technique was pointed out.
出处
《机床与液压》
北大核心
2004年第6期75-77,143,共4页
Machine Tool & Hydraulics
