| 基于遗传算法的工程车辆自动变速神经网络控制 |
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| 引用本文： | 张红彦,赵丁选,陈宁,尚涛.基于遗传算法的工程车辆自动变速神经网络控制[J].中国公路学报,2006,19(1):117-121. |
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| 作者姓名： | 张红彦 赵丁选 陈宁 尚涛 |
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| 作者单位： | 吉林大学,机械科学与工程学院,吉林,长春,130025 |
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| 摘 要： | 为了提高工程车辆传动系统效率，保持液力变矩器工作在高效区，提出了基于径向基函数神经网络的工程车辆自动变速控制方法，利用车辆传动试验台换挡控制试验的数据作为学习样本，采用遗传算法对径向基网络进行训练，并进行了验证性的仿真试验。仿真结果表明：该算法收敛速度快，能够满足工程车辆对换挡实时性的要求，可以根据车辆运行状态确定最佳挡住，并能够保证液力变矩器经常工作在高效区。
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| 关 键 词： | 机械工程 工程车辆 遗传算法 自动变速 径向基函数 神经网络 仿真试验 |
| 文章编号： | 1001-7372（2006）01-0117-05 |
| 收稿时间： | 2005-03-19 |
| 修稿时间： | 2005-03-19 |
Neural Network Control of Automatic Shift for Construction Vehicle Based on Genetic Algorithm |
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| ZHANG Hong-yan,ZHAO Ding-xuan,CHEN Ning,SHANG Tao.Neural Network Control of Automatic Shift for Construction Vehicle Based on Genetic Algorithm[J].China Journal of Highway and Transport,2006,19(1):117-121. |
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| Authors: | ZHANG Hong-yan ZHAO Ding-xuan CHEN Ning SHANG Tao |
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| Institution: | School of Mechanical Science and Engineering, Jilin University, Changchun 130025, Jilin, China |
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| Abstract: | In order to improve transmission efficiency of construction vehicle,and to keep hydraulic torque converter working in high efficient area,authors presented a method of shift-decision using a radial basis function(RBF) neural network and using genetic algorithm(GA) trains the RBF by optimized shift test data of construction vehicle,and did simulation experiment to validate it.The simulation results show that GA is effective for intelligent control and can judge the optimal gear shift position during vehicle running,and keep hydraulic torque converter always working in high efficient area. |
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| Keywords: | mechanical engineering construction vehicle genetic algorithm automatic shift radial basis function neural network simulation test |
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