| 随机干扰下电控空气悬架整车车身高度控制研究 |
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| 引用本文： | 陈月霞,陈龙,徐兴,黄晨.随机干扰下电控空气悬架整车车身高度控制研究[J].农业机械学报,2015,46(12):309-315. |
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| 作者姓名： | 陈月霞 陈龙 徐兴 黄晨 |
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| 作者单位： | 江苏大学,江苏大学,江苏大学,江苏大学 |
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| 基金项目： | 国家自然科学基金资助项目（51375212、71373105）、江苏省普通高校研究生科研创新计划资助项目（CXZZ12_0663)、江苏省自然科学基金资助项目（BK20131255）、江苏大学高级人才科研启动基金资助项目（14JDG156）和江苏省高校自然科学研究面上资助项目（15KJB580004） |
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| 摘 要： | 为解决随机干扰对空气悬架汽车车身高度动态切换的不良影响,结合空气弹簧模型,建立了随机干扰下的空气悬架车身高度调节系统整车模型。基于单神经元自调整增益算法,设计了神经网络PID自适应高度调节控制器。为检验所设计控制器的性能,搭建了Matlab/Simulink车身高度控制仿真模型,并开发了控制器实物,用于搭建整车试验平台。仿真结果显示所设计的控制器能有效地改善随机干扰下的高度调节过程的震荡,缓解车身俯仰和侧倾,整车试验也验证了仿真结果,提高了车辆舒适性和稳定性。
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| 关 键 词： | 电控空气悬架 车身高度调节 神经网络PID控制 随机干扰 |
| 收稿时间： | 8/2/2015 12:00:00 AM |
Vehicle Height Control of Electronic-controlled Air Suspension under Random Disturbance |
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| Chen Yuexi,Chen Long,Xu Xing and Huang Chen.Vehicle Height Control of Electronic-controlled Air Suspension under Random Disturbance[J].Transactions of the Chinese Society of Agricultural Machinery,2015,46(12):309-315. |
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| Authors: | Chen Yuexi Chen Long Xu Xing and Huang Chen |
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| Institution: | Jiangsu University,Jiangsu University,Jiangsu University and Jiangsu University |
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| Abstract: | In order to solve the negative effect of random disturbance on the height switching, the air suspension vehicle height adjustment system model was established with the air spring model. A neural network PID adaptive height adjustment controller was designed based on single neuron self tuning gain algorithm. To test performance of the controller, vehicle height control model was set up by Matlab/Simulink, and a real vehicle test platform was built with main equipment of Yaxing YBL6891 passenger car of air suspension, independently developed controller, inductance height sensor, assembled solenoid valve, debug system of electronic-controlled air suspension. Simulation and test were done in a continuous process of firstly increased and then decreased height. The simulation results showed that the height adjustment, pitch angle and lateral dip angle of PID controlled system had some strong oscillation, and the vibration phenomenon was obviously relieved in the control of the adaptive neural network PID controller. The improved height control system was relatively stable, and the control precision was improved. Vehicle test results showed that the open loop control system reached the target height with multiple oscillations. It was obvious that the control effect was not satisfactory over charge and discharge phenomenon, and the reaction time was time delay obviously. The system was stable to the target position after inflating 20 s and deflating 20 s separately. The response of the designed height controller was significantly accelerated, and stable to the target control position after inflating 5 s and deflating 3 s separately. The oscillation was significantly reduced, which was not obvious over charge and discharge. The designed controller meets the vehicle height switching. |
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| Keywords: | Electronic-controlled air suspension Vehicle height adjustment Neural network PID control Random disturbance |
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