首页> 外文期刊>Bulletin of the American Physical Society >APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Comparison Between DNS Data and Resolvent Model Prediction of Opposition Control with a Phase Shift Between Sensor and Actuator
【24h】

APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - Comparison Between DNS Data and Resolvent Model Prediction of Opposition Control with a Phase Shift Between Sensor and Actuator

机译:APS-流体动力学APS部门第70届年会-事件-DNS数据与具有传感器和执行器之间相移的对立控制的溶剂模型预测之间的比较

获取原文
           

摘要

In a recent study, Luhar et al (J Fluid Mech, 2014) analyzed the opposition control scheme (Choi et al, J Fluid Mech, 1994) within the resolvent analysis framework (McKeon & Sharma, J Fluid Mech, 2010) and demonstrated that their low-order model is able to qualitatively reproduce results from previous direct numerical simulation (DNS) studies.The model further predicts that introducing a phase shift between the sensor measurement and the actuator response strongly affects the attainable drag reduction and has the potential to improve the control effectiveness.The present study validates these predictions by means of a parametric DNS study and demonstrates that the response of the full nonlinear system to opposition control with various phase shifts between sensor and actuator very closely follows the low-order model.The good agreement between model prediction and DNS demonstrates for the first time the predictive capabilities of the resolvent analysis framework and suggests that it is a suitable low-order model to systematically design and optimize flow control schemes.
机译:在最近的一项研究中,Luhar等人(J Fluid Mech,2014年)在分解物分析框架(McKeon&Sharma,J Fluid Mech,2010年)中分析了对立控制方案(Choi等人,J Fluid Mech,1994年),并证明了他们的低阶模型能够从以前的直接数值模拟(DNS)研究中定性地复制结果。该模型进一步预测,在传感器测量值和执行器响应之间引入相移会强烈影响可达到的减阻效果,并且有可能改善本研究通过参数DNS研究验证了这些预测,并证明了传感器和执行器之间具有各种相移的完整非线性系统对对立控制的响应非常接近于低阶模型。在模型预测和DNS之间的关系首次证明了解析分析框架的预测能力,并表明它是适用于系统设计和优化流量控制方案的低阶模型。

著录项

相似文献

  • 外文文献
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