| 半主动空气悬架的模糊神经控制仿真分析 |
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| 引用本文： | 陈燕虹,刘宏伟,田华. 半主动空气悬架的模糊神经控制仿真分析[J]. 拖拉机与农用运输车, 2007, 34(5): 42-45 |
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| 作者姓名： | 陈燕虹 刘宏伟 田华 |
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| 作者单位： | 1. 吉林大学,测试科学实验中心,长春,130025
2. 吉林大学,汽车学院,长春,130025 |
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| 摘 要： | 以空气悬架客车1/4车辆模型为控制对象,设计了模糊神经控制器,以簧载质量垂直方向振动加速度均方根为控制指标,以车速50,120 km/h标准B级路面和标准C级路面为随机输入,利用MATLAB软件对模型进行了控制仿真分析。结果表明,模糊神经控制器对车辆的行驶平顺性和操纵稳定性均有明显的改善。
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| 关 键 词： | 空气悬架 空气弹簧 模糊神经控制 遗传算法 |
| 文章编号： | 1006-0006（2007）05-0042-04 |
| 修稿时间： | 2006-10-26 |
Fuzzy Neural Network Control and Simulation Analysis of Semi-active Air Spring Suspension |
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| CHEN Yan-hong,LIU Hong-wei,TIAN Hua. Fuzzy Neural Network Control and Simulation Analysis of Semi-active Air Spring Suspension[J]. Tractor & Farm Transporter, 2007, 34(5): 42-45 |
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| Authors: | CHEN Yan-hong LIU Hong-wei TIAN Hua |
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| Affiliation: | a. Center of Science ; b. College of Automotive Engineering, Jilin University, Changchun 130025, China |
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| Abstract: | Fuzzy neural network controler is designed by air suspension vehicle with the quarter-vehicle model as a control object and the RMS of perpendicular vibration acceleration of the sprung mass as control index.The quarter-vehicle model fuzzy neural network control simulation in MATLAB are performed by taking grade B and C with the speed 50 km/h and 120 km/h as random input.The simulation results illustrate that the vehicle comfort and manipulation stability are improved through the proposed controller. |
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| Keywords: | Air spring suspension Air spring Fuzzy neural network control Genetic algorithm |
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