【摘要】：為了提高雙通道主動(dòng)式穩(wěn)定桿(ASB)系統(tǒng)對(duì)車輛橫擺穩(wěn)定的控制性能,基于車輛的側(cè)向動(dòng)力學(xué)特性,提出了1種新型路面附著系數(shù)識(shí)別算法。先通過模糊規(guī)則識(shí)別非線性因子,再由估算模型計(jì)算路面附著系數(shù)的初始估計(jì)值。通過濾波處理算法處理后得到最終估計(jì)值,并將其應(yīng)用于雙通道ASB系統(tǒng)中。利用MATLAB/Simulink對(duì)該算法進(jìn)行了高、中、低附著路面以及對(duì)接路面的仿真分析。仿真結(jié)果表明,該算法能夠有效地識(shí)別路面狀況,雙通道ASB系統(tǒng)根據(jù)當(dāng)前的路面信息及時(shí)調(diào)整控制策略,提高了車輛的橫擺穩(wěn)定性。
[Abstract]:In order to improve the control performance of two-channel active stabilizer (ASB) system for vehicle swing stability, a new road adhesion coefficient identification algorithm is proposed based on the lateral dynamic characteristics of vehicles. The nonlinear factors are identified by fuzzy rules, and then the initial estimated values of pavement adhesion coefficient are calculated by the estimation model. The final estimated value is obtained by filtering algorithm and applied to dual-channel ASB system. MATLAB/Simulink is used to simulate and analyze the high, medium, low attachment pavement and docking pavement. The simulation results show that the algorithm can effectively identify the pavement condition, and the dual-channel ASB system adjusts the control strategy in time according to the current pavement information, which improves the yaw stability of the vehicle.
【作者單位】： 南京理工大學(xué)機(jī)械工程學(xué)院;
【基金】：國家自然科學(xué)基金(51205204;51205209) 中央高校基本科研業(yè)務(wù)費(fèi)專項(xiàng)資金(30915118832) 江蘇省“六大人才高峰”資助項(xiàng)目(2014-JXQC-003)
【分類號(hào)】：U463.6
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本文編號(hào)：2495875