半主动悬架模糊动态建模与神经网络控制

doi:10.3969/j.issn.1671-7775.2009.01.006

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摘要进行可调减振器外特性试验，拟合其阻尼系数与步进电动机转角之间的非线性关系，基于模糊动态模型理论，建立车辆半主动悬架模糊动态模型．设计半主动悬架模糊神经网络控制策略，研制半主动悬架模糊神经网络控制器．在仿真的基础上，进行实车道路试验．结果表明，模糊动态半主动悬架模糊神经网络控制有效地衰减车身垂直振动，改善车辆行驶姿态，提高乘坐舒适性及行驶安全性，协调整车综合性能

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	汪若尘
	陈龙
	江浩斌
	张孝良

关键词 ：半主动悬架 ')" href="#">半主动悬架 , 减振器')" href="#">减振器, 模糊动态模型')" href="#"> 模糊动态模型, 模糊神经网络控制')" href="#"> 模糊神经网络控制

Abstract：Based on the test results of tunable damper, the nonlinear relation was fitted between the damping factor and the angle of the stepping motor. According to the fuzzy dynamic theory, the fuzzy dynamic model of semi-active suspension was built and its fuzzy neural network control strategy was designed. The fuzzy neural network controller of semi-active suspension was developed. The actual road test was done. The experimental results show that the fuzzy neural network of fuzzy dynamic semi-active suspension can reduce the body vertical vibration, improve the vehicle＇s attitude, comfort and security, and coordinates the vehicle performance.

Key words： semi-active suspension ')" href="#">semi-active suspension damper')" href="#">damper fuzzy dynamic model ')" href="#">fuzzy dynamic model fuzzy neural network control')" href="#">fuzzy neural network control

基金资助:

国家自然科学基金资助项目（50875112）;江苏省教育厅自然科学基金资助项目（08KJB580001）;江苏大学高级人才启动项目（07JDG039）

引用本文:

汪若尘, 陈龙, 江浩斌, 张孝良 . 半主动悬架模糊动态建模与神经网络控制[J]. 江苏大学学报（自然科学版）, 2009, 30(1): 23-26. Wang Ruochen, Chen Long, Jiang Haobin, Zhang Xiaoliang- . Fuzzy dynamic model and neural network control of semi-active suspension[J]. Journal of Jiangsu University(Natural Science Eidtion) , 2009, 30(1): 23-26.

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http://zzs.ujs.edu.cn/xbzkb/CN/10.3969/j.issn.1671-7775.2009.01.006 或 http://zzs.ujs.edu.cn/xbzkb/CN/Y2009/V30/I1/23