| 基于遗传算法的汽车半主动悬架模糊控制器设计 |
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| 引用本文： | 贝绍轶,陈龙. 基于遗传算法的汽车半主动悬架模糊控制器设计[J]. 农业机械学报, 2006, 37(9): 9-12 |
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| 作者姓名： | 贝绍轶 陈龙 |
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| 作者单位： | 江苏大学汽车与交通工程学院(江苏技术师范学院),212013,镇江市;江苏大学汽车与交通工程学院 |
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| 摘 要： | 建立了二自由度汽车半主动悬架系统的数学模型，针对汽车半主动悬架减振器阻尼控制中模糊控制器存在的问题，提出了基于遗传算法的模糊控制算法。采用浮点数编码对模糊控制规则进行优化，既提高了运算效率和计算精度，又保证了控制系统的快速性和全局最优性。仿真计算和试验结果表明：基于遗传算法的模糊控制器能明显改善汽车的行驶平顺性。
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| 关 键 词： | 半主动悬架 模糊控制 遗传算法 台架试验 |
| 收稿时间： | 2005-03-28 |
| 修稿时间： | 2005-03-28 |
Design of Semi-active Automobile Suspension Fuzzy Controller Based on Genetic Algorithms |
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| Bei Shaoyi,Chen Long. Design of Semi-active Automobile Suspension Fuzzy Controller Based on Genetic Algorithms[J]. Transactions of the Chinese Society for Agricultural Machinery, 2006, 37(9): 9-12 |
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| Authors: | Bei Shaoyi Chen Long |
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| Affiliation: | Jiangsu University |
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| Abstract: | A two-degree freedom mathematical model tor the semi-active automotive suspension system is built. Considering the problem existed in the traditional fuzzy controller on the damping of shock absorber of semi-active suspension, a fuzzy control algorithm based on genetic algorithms is presented. Floating-point coding is adopted to optimize fuzzy control rules, it can improve the efficiency and accuracy of calculation, also can guarantee fastness and global optimal. The simulation and experiment results show that the controllers based on genetic algorithms can improve the ride comfort characteristics of automobile. |
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| Keywords: | Semi-active suspension Fuzzy control Genetic algorithms Bench test |
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