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A tunable fuzzy logic controller for the vehicle semi-active suspension system

A tunable fuzzy logic controller for the vehicle semi-active suspension system
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摘要 On the basis of analyzing the system constitution of vehicle semi-active suspension, a 4-DOF (degree of freedom) dynamic model is established. A tunable fuzzy logic controller is designed by using without quantification method and taking into account the uncertainty, nonlinearity and complexity of parameters for a vehicle suspension system. Simulation to test the performance of this controller is performed under random excitations and definite disturbances of a C grade road, and the effects of time delay and changes of system parameters on the vehicle suspension system are researched. The numerical simulation shows that the performance of the designed tunable fuzzy logic controller is effective, stable and reliable. On the basis of analyzing the system constitution of vehicle semi-active suspension, a 4-DOF (degree of freedom) dynamic model is established. A tunable fuzzy logic controller is designed by using without quantification method and taking into account the uncertainty, nonlinearity and complexity of parameters for a vehicle suspension system. Simulation to test the performance of this controller is performed under random excitations and definite disturbances of a C grade road, and the effects of time delay and changes of system parameters on the vehicle suspension system are researched. The numerical simulation shows that the performance of the designed tunable fuzzy logic controller is effective, stable and reliable.
出处 《Journal of Chongqing University》 CAS 2002年第2期16-19,共4页 重庆大学学报(英文版)
基金 Funded by the National Natural Science Foundation of China (NO.50135030)
关键词 模糊逻辑控制器 汽车 半主动悬挂系统 计算机仿真 vehicle semi-active suspension system fuzzy logic control simulation
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参考文献2

  • 1ZhangW,DuanF,ZhaoZ.An improved fuzzy integration control method without quantification.In:Proceedings of the1999ASME DesignEngineeringTechnicalConference.LasVegas:[].n].1999
  • 2PassinoKM,YurkovichS.Fuzzy control[]..2001

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