自适应神经模糊推理的四轮转向车辆转向控制研究Research on Steering Control of Four-Wheel Steering Vehicle Based on Adaptive Neuro-Fuzzy System
曹艳玲;张琦;
摘要(Abstract):
模糊规则的建立和隶属度函数的确定是设计模糊系统的难题。基于神经网络和模糊逻辑的自适应神经模糊推理系统,能够从仿真数据中自动提取出If-Then规则。并在Matlab/Simulink软件中,建立包含侧向运动、横摆运动、侧倾运动三个自由度的四轮转向车辆三自由度动力学模型。将得到的If-Then规则读取到模糊控制器中和三自由度车辆模型进行联合仿真。其中模糊控制器以方向盘转角、方向盘转角速度和车速作为输入,后轮转角作为输出。最后与前轮转向的车辆进行转向盘角阶跃仿真对比。仿真分析结果表明:基于自适应神经模糊推理系统建立的后轮转角模糊控制器能够实现理想的质心侧偏角和车辆横摆角速度响应,提高了车辆的操纵稳定性。
关键词(KeyWords): 自适应;神经模糊推理;三自由度;四轮转向;操纵稳定性
基金项目(Foundation): 国家自然科学基金资助项目(61473115)
作者(Author): 曹艳玲;张琦;
Email:
DOI: 10.19356/j.cnki.1001-3997.2021.03.051
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