This paper aims at modeling and developing vibration control methods for a flexible piezoelectric beam. A collocated sensor/actuator placement is used. Finite element analysis （FEA） method is adopted to derive the d...This paper aims at modeling and developing vibration control methods for a flexible piezoelectric beam. A collocated sensor/actuator placement is used. Finite element analysis （FEA） method is adopted to derive the dynamics model of the system. A back propagation neural network （BPNN） based proportional-derivative （PD） algorithm is applied to suppress the vibration. Simulation and experiments are conducted using the FEA model and BPNN-PD control law. Experimental results show good agreement with the simulation results using finite element modeling and the neural network control algorithm.展开更多
为解决SONiC(software for open networking in the cloud)交换机操作系统对多模态网络(polymor phic network,PINet)中模态适配及模态管控问题,提出了一个基于P4Runtime的SONiC网元控制通道容器p4runtime-pins,使多模态网元设备可以支...为解决SONiC(software for open networking in the cloud)交换机操作系统对多模态网络(polymor phic network,PINet)中模态适配及模态管控问题,提出了一个基于P4Runtime的SONiC网元控制通道容器p4runtime-pins,使多模态网元设备可以支持多种网络模态流表的配置。p4runtime-pins容器通过gRPC服务模块实现与控制器的连接,使用邻近网元发现算法实现控制器对链路的发现。设计了网元端口更新算法解决了网元设备在实际应用环境中存在的端口变更问题。同时,针对SONiC网元交换机中硬件转发处理单元存在的流表支持性差异问题,设计了内部流表转存和gRPC网元代理功能,实现了不同网络模态流表的部署。实验结果表明,p4runtime-pins容器资源消耗低,仅占用了1.70%的CPU资源和0.45%的内存资源。同时,部署p4runtime-pins容器的SONiC网元设备能够准确地接收并配置控制器下发的流表规则,流表配置延迟仅为0.027~0.037 s。展开更多
基金Project supported by the Key Project(No.60934001)the General Projects(Nos.51175181and90505014)of the National Natural Science Foundation of Chinaby the Fundamental Research Funds for the Central Universities,SCUT(No.2012ZZ0060)
文摘This paper aims at modeling and developing vibration control methods for a flexible piezoelectric beam. A collocated sensor/actuator placement is used. Finite element analysis （FEA） method is adopted to derive the dynamics model of the system. A back propagation neural network （BPNN） based proportional-derivative （PD） algorithm is applied to suppress the vibration. Simulation and experiments are conducted using the FEA model and BPNN-PD control law. Experimental results show good agreement with the simulation results using finite element modeling and the neural network control algorithm.
文摘为解决SONiC(software for open networking in the cloud)交换机操作系统对多模态网络(polymor phic network,PINet)中模态适配及模态管控问题,提出了一个基于P4Runtime的SONiC网元控制通道容器p4runtime-pins,使多模态网元设备可以支持多种网络模态流表的配置。p4runtime-pins容器通过gRPC服务模块实现与控制器的连接,使用邻近网元发现算法实现控制器对链路的发现。设计了网元端口更新算法解决了网元设备在实际应用环境中存在的端口变更问题。同时,针对SONiC网元交换机中硬件转发处理单元存在的流表支持性差异问题,设计了内部流表转存和gRPC网元代理功能,实现了不同网络模态流表的部署。实验结果表明,p4runtime-pins容器资源消耗低,仅占用了1.70%的CPU资源和0.45%的内存资源。同时,部署p4runtime-pins容器的SONiC网元设备能够准确地接收并配置控制器下发的流表规则,流表配置延迟仅为0.027~0.037 s。
