首页> 外文会议>The Eleventh international Pacific conference on automotive engineering(IPC-11) : Proceedings >A Study on Fuzzy Neural Network Controller for Automotive Active-Suspension
【24h】

A Study on Fuzzy Neural Network Controller for Automotive Active-Suspension

机译:汽车主动悬架的模糊神经网络控制器研究

获取原文
获取原文并翻译 | 示例

摘要

This paper establishes a 4 DOFs of while model with semi-active suspension, presents a control strategy forrnautomotive active suspension system based on fuzzy neural networks, which adopts BP learning algorithm, simulates thernsuspension system and analyses the test result. Compared with conventional passive suspensions, the results show that thernactive suspension is superior to the passive suspension in improving the ride comfort.
机译:建立了具有半主动悬架的四自由度while模型,提出了一种基于模糊神经网络的汽车主动悬架系统的控制策略,采用BP学习算法,对悬架系统进行了仿真,并对测试结果进行了分析。结果表明,与传统的被动悬架相比,主动悬架在改善乘坐舒适性方面要优于被动悬架。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号