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半主动空气悬架的模糊神经控制仿真分析
Fuzzy Neural Network Control and Simulation Analysis of Semi-active Air Spring Suspension
【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。
【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.
【关键词】 空气悬架;
空气弹簧;
模糊神经控制;
遗传算法;
【Key words】 Air spring suspension; Air spring; Fuzzy neural network control; Genetic algorithm;
【Key words】 Air spring suspension; Air spring; Fuzzy neural network control; Genetic algorithm;
- 【文献出处】 拖拉机与农用运输车 ,Tractor & Farm Transporter , 编辑部邮箱 ,2007年05期
- 【分类号】U463.33
- 【被引频次】11
- 【下载频次】204