车辆主动悬架系统的LMS自适应模糊控制

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems Pub Date : 2003-12-19 DOI:10.1109/ITSC.2003.1252708

Jianmin Sun, Qingmei Yang, Yuewu Dong, Yi Zhang

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引用次数: 5

摘要

以车辆的乘坐舒适性和操纵安全性为控制目标。针对道路车辆系统的非线性特性，提出了一种可调模糊控制算法，并通过数值计算得到该算法的模糊控制规则表。由于该算法采用最小均二乘法对模糊控制器的整流因子进行调整，既能体现模糊逻辑在非线性系统中的优势，又能较强地依靠经验改进普通模糊控制方法的缺点。针对二自由度(DOF)车辆模型，研究了道路信号下车辆性能的仿真，结果表明，可调模糊控制器可以将簧载质量的加速度降低20倍。通过整车模型的实验研究，进一步证明了该算法能够有效地控制整车系统的振动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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LMS adaptive fuzzy control for vehicle active suspension system

The riding comfort and handling safety of vehicle are regarded as control aims. With the nonlinearity of the road-vehicle system, an adjustable fuzzy control algorithm, whose fuzzy control rule table can be obtained with the numerical calculation is put forward. Because the algorithm can adjust the rectification factor of fuzzy controller with the least means squares (LMS) method, it can reflect the advantage of fuzzy logic in nonlinearity systems and also can improve the disadvantage of common fuzzy control method strongly depending on the experience. For two degree-of freedom (DOF) vehicle model, the simulation of vehicle performance in road signal is studied, its results show the adjustable fuzzy controller can reduce the acceleration of the sprung mass by a factor of 20. According to the experiment study of vehicle model, the results further prove that the algorithm can effectively control the vibration of the vehicle system.

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Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems

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