| 电动助力转向系统机械与控制参数集成优化 |
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| 引用本文： | 王其东,姜武华,陈无畏.电动助力转向系统机械与控制参数集成优化[J].农业机械学报,2006,37(9):1-4. |
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| 作者姓名： | 王其东 姜武华 陈无畏 |
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| 作者单位： | 1. 合肥工业大学机械与汽车工程学院,230009,合肥市
2. 合肥工业大学机械与汽车工程学院 |
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| 基金项目： | 国家自然科学基金;安徽省自然科学基金 |
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| 摘 要： | 建立了电动助力转向(EPS)系统的动力学模型,采用模糊神经网络控制策略进行了系统的控制,在提出目标函数的基础上,用遗传算法对EPS系统机械参数和控制参数进行集成优化。仿真结果表明:采用集成优化方法能使EPS系统的机械参数和控制器参数的匹配更合理,可以提高汽车的操纵性能。
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| 关 键 词： | 电动助力转向 模糊神经网络 遗传算法 集成优化 |
| 收稿时间： | 03 28 2005 12:00AM |
| 修稿时间： | 2005年3月28日 |
Study on Integrated Optimization for Mechanical and Control Parameters of Electric Power Steering System |
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| Wang Qidong,Jiang Wuhua,Chen Wuwei.Study on Integrated Optimization for Mechanical and Control Parameters of Electric Power Steering System[J].Transactions of the Chinese Society of Agricultural Machinery,2006,37(9):1-4. |
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| Authors: | Wang Qidong Jiang Wuhua Chen Wuwei |
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| Institution: | Hefei University of Technology |
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| Abstract: | A mathematic model of the electric power steering (EPS) system was established and a fuzzy neural network controller was adopted. An integrated optimization for structure parameters and fuzzy neural network control parameters based on genetic algorithm (GA) was brought forward, after objective function was advanced. The result of simulation showed that the integrated optimization method can make it more matchable for structure parameters and control parameters, the automotive controllability and stability can be improved. |
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| Keywords: | Electric power steering Fuzzy neural network Genetic algorithm Integrated optimization |
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