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| 基于遗传算法和神经网络的车辆主动悬架控制技 | |
| 引用本文： | 唐传茵,李华,周炜,周淑文,赵广耀.基于遗传算法和神经网络的车辆主动悬架控制技[J].农业机械学报,2009,40(2):6-11. |
| 作者姓名： | 唐传茵 李华 周炜 周淑文 赵广耀 |
| 作者单位： | 1. 东北大学机械工程与自动化学院,沈阳,110004 2. 东北大学机械工程与自动化学院,沈阳,110004;沈阳农业大学工程学院,沈阳,110161 3. 交通部公路科学研究院汽车运输技术研究中心,北京,100088 |
| 基金项目： | 国家自然科学基金，交通部西部交通建设科技项目 |
| 摘 要： | 采用遗传算法与神经网络相结合的控制策略,以四自由度车辆主动悬架半车模型为仿真对象,与传统的被动悬架进行控制性能比较.通过改变神经网络训练参数、遗传算法输入函数以及车速,对系统的响应特性进行了分析.结果表明车辆主动悬架控制策略可以减小车辆的振动,改善车辆行驶平顺性. |
| 关 键 词： | 车辆 主动悬架 神经网络 遗传算法 仿真 |
Technology of Vehicle Active Suspension Based on Genetic Algorithm and Neural Network |
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| Tang Chuanyin,Li Hua,Zhou Wei,Zhou Shuwen,Zhao Guangyao.Technology of Vehicle Active Suspension Based on Genetic Algorithm and Neural Network[J].Transactions of the Chinese Society of Agricultural Machinery,2009,40(2):6-11. | |
| Authors: | Tang Chuanyin Li Hua Zhou Wei Zhou Shuwen Zhao Guangyao |
| Institution: | 1.School of Mechanical Engineering and Automation;Northeastern University;Shenyang 110004;China 2.School of Engineering;Shenyang Agricultural University;Shenyang 110161;China 3.Research Institute of Highway;The Ministry of Communications;Beijing 100088;China |
| Abstract: | An active suspension system of vehicles by using the genetic algorithms and neural network controls strategy has been proposed.A half-car four-degree of freedom suspension vibration model was described.Compared with the conventional passive suspension system,the analysis has been done to the system control performance.The analysis of the system response was obtained through the change of the neural network training coefficients,genetic algorithms input functions and the change of velocity.The simulation res... |
| Keywords: | Vehicle Active suspension Neural networks Genetic algorithm Simulation |
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