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Two Adaptive Control Algorithms in Semi-Active Suspension System

两种自适应控制算法在悬挂系统中的应用(英文)
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摘要 To reduce the vibration in the suspension, semi active suspension system was employed. And its CARMA model was built. Two adaptive control schemes, the minimum variance self tuning control algorithm and the pole configuration self tuning control algorithm, were proposed. The former can make the variance of the output minimum while the latter can make dynamic behavior satisfying. The stability of the two schemes was analyzed. Simulations of them show that the acceleration in the vertical direction has been reduced greatly. The purpose of reducing vibration is realized. The two schemes can reduce the vibration in the suspension and have some practicability. 为了减小车辆悬挂系统的振动 ,采用半主动悬挂系统作为对象 ,并建立了其CARMA模型 ,提出了自适应控制中的两种算法 :最小方差自校正控制算法和极点配置自校正控制算法 .前者可使系统输出的方差最小 ,而后者可使系统的动态特性达到预期的目的 .仿真结果表明 ,车体垂直方向的加速度大大减小 ,减振的目的也已达到 .这两种算法都能减小悬挂系统中的振动 。
出处 《Journal of Beijing Institute of Technology》 EI CAS 2002年第1期5-9,共5页 北京理工大学学报(英文版)
关键词 semi active suspension minimum variance self tuning control algorithm pole configuration self tuning control algorithm 车辆 半主动悬挂系统 减振措施 自适应控制 CARMA模型 最小方差自校正控制算法 极点配置自校正控制算法
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