| 主动悬架LQR控制加权系数多目标遗传算法优化 |
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| 引用本文： | 胡斐,赵治国. 主动悬架LQR控制加权系数多目标遗传算法优化[J]. 机械与电子, 2011, 0(2): 28-31 |
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| 作者姓名： | 胡斐 赵治国 |
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| 作者单位： | 同济大学汽车学院,上海,201804 |
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| 摘 要： | 对多目标遗传算法NSGA-Ⅱ进行了改进，提出了基于改进NSGA-Ⅱ算法的主动悬架LQR控制加权系数设计方法。仿真结果表明，多目标遗传算法一次运行可以获得多组Pareto最优的性能指标加权系数，设计者可以根据偏好选择最终的满意解，避免了现有加权系数选择方法存在的主观性和盲目性。
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| 关 键 词： | 主动悬架 LQR控制器 多目标 遗传算法 NSGA—Ⅱ |
Optimization of Weighting Factors for LQR Controller of Active Suspension Based on Multi-objective Genetic Algorithm |
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| HU Fei,ZHAO Zhi-guo. Optimization of Weighting Factors for LQR Controller of Active Suspension Based on Multi-objective Genetic Algorithm[J]. Machinery & Electronics, 2011, 0(2): 28-31 |
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| Authors: | HU Fei ZHAO Zhi-guo |
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| Affiliation: | HU Fei, ZHAO Zhi - gun (College of Automotive Engineering, Tongji University, Shanghai 201804, China) |
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| Abstract: | An optimization design method of weighting factors for active suspension LQR controller based on multi- objective genetic algorithm has been presented. The nondominated sorting genetic algorithm Ⅱ （NSGA-Ⅱ） has been improved and then applied. The simulation results show that each run of the algorithm can produce many Pareto -optimal weighting factors and the satisfactory factors can be selected by the designer according to the preference,while the subjectivity and blindness of the conventional method have been overcame. |
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| Keywords: | active suspension LQR controller multi - objective genetic algorithm NSGA - Ⅱ |
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