基于模糊规则的路面附着识别算法研究
发布时间：2019-06-09 20:24
【摘要】：为了提高双通道主动式稳定杆(ASB)系统对车辆横摆稳定的控制性能,基于车辆的侧向动力学特性,提出了1种新型路面附着系数识别算法。先通过模糊规则识别非线性因子,再由估算模型计算路面附着系数的初始估计值。通过滤波处理算法处理后得到最终估计值,并将其应用于双通道ASB系统中。利用MATLAB/Simulink对该算法进行了高、中、低附着路面以及对接路面的仿真分析。仿真结果表明,该算法能够有效地识别路面状况,双通道ASB系统根据当前的路面信息及时调整控制策略,提高了车辆的横摆稳定性。
[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.
【作者单位】： 南京理工大学机械工程学院;
【基金】：国家自然科学基金(51205204;51205209) 中央高校基本科研业务费专项资金(30915118832) 江苏省“六大人才高峰”资助项目(2014-JXQC-003)
【分类号】：U463.6
，
本文编号：2495875
[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.
【作者单位】： 南京理工大学机械工程学院;
【基金】：国家自然科学基金(51205204;51205209) 中央高校基本科研业务费专项资金(30915118832) 江苏省“六大人才高峰”资助项目(2014-JXQC-003)
【分类号】：U463.6
，
本文编号：2495875
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