| 基于多体模型的汽车半主动悬架控制方法研究 |
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| 引用本文： | 王其东,陈无畏,张炳力.基于多体模型的汽车半主动悬架控制方法研究[J].机械工程学报,2004,40(1):104-108. |
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| 作者姓名： | 王其东 陈无畏 张炳力 |
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| 作者单位： | 合肥工业大学机械与汽车学院,合肥,230069 |
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| 基金项目： | 国家自然科学基金(50275045)，安徽省自然科学基金(0043238)，江苏省汽车工程重点实验室基金(KJS01087)资助项目。 |
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| 摘 要： | 针对半主动悬架控制中的两个重要问题——系统模型的建立和控制策略的确定进行了深入的研究,建立了汽车的多体动力学方程,提出了半主动悬架模糊神经网络控制方法,设计了控制系统,应用遗传算法优化了控制器的参数和结构,用基于变尺度的BFGS算法优化神经网络权值,在仿真研究的基础上进行了试验研究,结果表明提出的方法能明显改善悬架性能。
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| 关 键 词： | 半主动悬架 控制 多体动力学 模糊神经网络 |
| 修稿时间： | 2002年11月27 |
STUDY ON THE CONTROL METHOD OF AUTOMOBILE SEMI-ACTIVE SUSPENSION BASED ON THE MULTIBODY MODEL |
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| Wang Qidong Chen Wuwei Zhang Bingli.STUDY ON THE CONTROL METHOD OF AUTOMOBILE SEMI-ACTIVE SUSPENSION BASED ON THE MULTIBODY MODEL[J].Chinese Journal of Mechanical Engineering,2004,40(1):104-108. |
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| Authors: | Wang Qidong Chen Wuwei Zhang Bingli |
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| Affiliation: | Hefei University of Technology |
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| Abstract: | Two important problems in the control of semi-active suspension which are the establishing of system model and the determination of control strategy are studied. The multi-body dynamic equations of the automobiles are deduced. After the study of applying fuzzy neural network method to the suspension control, the controller is designed. The GA algorithm is used to optimize the parameters and structure of the controller, and the DFGS algorithm is used to optimize weights of the network. Based on the simulation, the experiment is carried out. Both the simulation and experimental results show that the model and control strategy put forward can improve the performance of suspension noticeably. |
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| Keywords: | Semi-active suspension Control Multibody dynamics Fuzzy neural network |
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