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基于T-S模糊模型的半主动悬架控制研究
引用本文:陈龙,杨谋存,薛念文,江浩斌,陈杨. 基于T-S模糊模型的半主动悬架控制研究[J]. 江苏大学学报(自然科学版), 2004, 25(5): 385-388
作者姓名:陈龙  杨谋存  薛念文  江浩斌  陈杨
作者单位:江苏大学汽车与交通工程学院,江苏,镇江,212013;江苏大学汽车与交通工程学院,江苏,镇江,212013;江苏大学汽车与交通工程学院,江苏,镇江,212013;江苏大学汽车与交通工程学院,江苏,镇江,212013;江苏大学汽车与交通工程学院,江苏,镇江,212013
基金项目:国家自然科学基金资助项目(50275064),江苏省自然科学基金资助项目(BK2001199)
摘    要:在1/4车辆悬架数学模型的基础上,分别采用T-S和Mamdani模糊控制策略,建立模糊模型的半主动悬架控制系统,分析和比较了两种控制系统的性能,设计了基于CIP-51为核心的单片机控制器,并进行了半主动台架试验.计算和试验结果表明,模糊控制器均能有效地控制半主动悬架系统,提高车辆的乘坐舒适性,改善车辆的性能.与普通Mamdani模糊控制相比,T-S模糊控制器具有设计简单,运算速度快,便于实时控制的优点,验证了T-S模糊控制方法的有效性和优越性.

关 键 词:半主动悬架  T-S模糊模型  神经网络控制  台架试验
文章编号:1671-7775(2004)05-0385-04
修稿时间:2003-12-01

Study on semi-active suspension control based on T-S fuzzy model
CHEN Long,YANG Mou-cun,XUE Nian-wen,JIANG Hao-bin,CHEN Yang. Study on semi-active suspension control based on T-S fuzzy model[J]. Journal of Jiangsu University:Natural Science Edition, 2004, 25(5): 385-388
Authors:CHEN Long  YANG Mou-cun  XUE Nian-wen  JIANG Hao-bin  CHEN Yang
Abstract:Based on the mathematic model of a quarter of vehicle suspension, the fuzzy control model of semi-active suspension was established by using T-S and Mamdani fuzzy control strategies. The perfor-(mances) of two control systems were analyzed and compared. The controller with CIP-51 as its core was designed. Based on these, experiments were carried on. The simulation and experiment results show that the two fuzzy controllers can control the semi-active suspension effectivedly, improve vehicle's perfor-(mance and increase ) the riding comfort of vehicle. Compared to Mamdani fuzzy controller, T-S controller can be designed easily, controlled quickly and run rapidly.
Keywords:semi-active suspension  T-S fuzzy model  neural-network control  bench test
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