• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Chinese journal of aeronautics >GA-Based Model Predictive Control of Semi-Active Landing Gear
【24h】

GA-Based Model Predictive Control of Semi-Active Landing Gear

机译：基于遗传算法的半主动起落架模型预测控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Semi-active landing gear can provide good performance of both landing impact and taxi situation, and has the ability for adapting to various ground conditions and operational conditions. A kind of Nonlinear Model Predictive Control algorithm (NMPC) for semi-active landing gears is developed in this paper. The NMPC algorithm uses Genetic Algorithm (GA) as the optimization technique and chooses damping performance of landing gear at touch down to be the optimization object. The valve's rate and magnitude limitations are also considered in the controller's design. A simulation model is built for the semi-active landing gear's damping process at touchdown. Drop tests are carried out on an experimental passive landing gear system to validate the parameters of the simulation model. The result of numerical simulation shows that the isolation of impact load at touchdown can be significantly improved compared to other control algorithms. The strongly nonlinear dynamics of semi-active landing gear coupled with control valve's rate and magnitude limitations are handled well with the proposed controller.
机译：半主动起落架可提供良好的着陆冲击和滑行状况，并具有适应各种地面条件和运行条件的能力。提出了一种半主动起落架的非线性模型预测控制算法（NMPC）。 NMPC算法使用遗传算法（GA）作为优化技术，并选择着陆时着陆装置的阻尼性能作为优化对象。在控制器的设计中还考虑了阀门的速率和幅度限制。针对着陆时半主动起落架的阻尼过程建立了仿真模型。在试验性被动起落架系统上进行跌落测试，以验证仿真模型的参数。数值模拟结果表明，与其他控制算法相比，触地时冲击载荷的隔离度得到了显着改善。所提出的控制器可以很好地处理半主动起落架的强非线性动力学特性，以及控制阀的速度和幅度限制。

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