Neuron PI control for semi-active suspension system of tracked vehicle

被引：0

作者：

曾谊晖 ^{[1
,2
]}

刘少军 ^{[1
]}

鄂加强 ^{[3
]}

机构：

[1] College of Mechanical and Electrical Engineering,Central South University

[2] Computer Numerical Control Tooling Center,Hunan International Economics University

[3] College of Mechanical and Vehicle Engineering,Hunan University

来源：

JournalofCentralSouthUniversityofTechnology | 2011年 / 18卷 / 02期

关键词：

tracked vehicle; magneto rheological damper; semi-active suspension; preview technology; neuron PI control;

D O I：

暂无

中图分类号：

TD424 [海底矿床采掘机械];

学科分类号：

0819 ;

摘要：

A neuron proportion integration (PI) control strategy for semi-active suspension system of tracked vehicle was proposed based on its unique structure and the multiple and complex environment of the driving traffic. An adaptive genetic algorithm is used to optimize the parameters of the neuron PI controller. The simulation result of the neuron PI control for semi-active suspension system of tracked vehicle indicates that the vertical amplitude,pitch angle and vertical acceleration of the vehicle are well controlled. The root mean square (RMS) of the vertical amplitude decreases by 37.2%,and 45.2% for the pitch angle,38.6% for the vertical acceleration. The research of neuron PI control experiment for the semi-active suspension system of the tracked vehicle model mining in benthal indicates that the RMS of the weight acceleration vibrating along the vertical direction decreases by 29.5%,the power spectral density resonance peak of the acceleration of the car body decreases by 23.8%.

引用

页码：444 / 450

页数：7

共 9 条

[1]

A new adaptive mutative scale chaos optimization algorithm and its application[J]. Jiaqiang E 1,2, Chunhua WANG 1, Yaonan WANG 2, Jinke GONG 1 (1.College of Mechanical and Automotive Engineering, Hunan University, Changsha Hunan 410082, China;2.College of Electrical and Informational Engineering, Hunan University, Changsha Hunan 410082, China).Journal of Control Theory and Applications. 2008(02)

[2] 汽车主动悬架多点预瞄控制算法设计 [J].