采用专用DSP控制器TI TMS320 F2812对无刷直流电机智能控制系统进行了全数字化设计.给出了系统实现的硬件电路设计方案,并利用MATLAB/Simulink/Embedded Target for TI C2000 DSP嵌入式目标模块建立了直流电机控制器的仿真模型.一旦需...采用专用DSP控制器TI TMS320 F2812对无刷直流电机智能控制系统进行了全数字化设计.给出了系统实现的硬件电路设计方案,并利用MATLAB/Simulink/Embedded Target for TI C2000 DSP嵌入式目标模块建立了直流电机控制器的仿真模型.一旦需要的功能被设计而且模拟成功,就可以直接为DSP(数字信号处理器)产生代码.直流电机被数字信号处理器产生的信号驱动,从而完成特定直流电机控制器的设计.实验表明,通过采用嵌入式目标模块生成针对特定应用的程序能够实现程序设计的快速高效化.展开更多
In order to solve the problems that the current synthetic aperture radar(SAR)image target detection method cannot adapt to targets of different sizes,and the complex image background leads to low detection accuracy,an...In order to solve the problems that the current synthetic aperture radar(SAR)image target detection method cannot adapt to targets of different sizes,and the complex image background leads to low detection accuracy,an improved SAR image small target detection method based on YOLOv7 was proposed in this study.The proposed method improved the feature extraction network by using Switchable Around Convolution(SAConv)in the backbone network to help the model capture target information at different scales,thus improving the feature extraction ability for small targets.Based on the attention mechanism,the DyHead module was embedded in the target detection head to reduce the impact of complex background,and better focus on the small targets.In addition,the NWD loss function was introduced and combined with CIoU loss.Compared to the CIoU loss function typically used in YOLOv7,the NWD loss function pays more attention to the processing of small targets,so as to further improve the detection ability of small targets.The experimental results on the HRSID dataset indicate that the proposed method achieved mAP@0.5 and mAP@0.95 scores of 93.5%and 71.5%,respectively.Compared to the baseline model,this represents an increase of 7.2%and 7.6%,respectively.The proposed method can effectively complete the task of SAR image small target detection.展开更多
文摘采用专用DSP控制器TI TMS320 F2812对无刷直流电机智能控制系统进行了全数字化设计.给出了系统实现的硬件电路设计方案,并利用MATLAB/Simulink/Embedded Target for TI C2000 DSP嵌入式目标模块建立了直流电机控制器的仿真模型.一旦需要的功能被设计而且模拟成功,就可以直接为DSP(数字信号处理器)产生代码.直流电机被数字信号处理器产生的信号驱动,从而完成特定直流电机控制器的设计.实验表明,通过采用嵌入式目标模块生成针对特定应用的程序能够实现程序设计的快速高效化.
文摘In order to solve the problems that the current synthetic aperture radar(SAR)image target detection method cannot adapt to targets of different sizes,and the complex image background leads to low detection accuracy,an improved SAR image small target detection method based on YOLOv7 was proposed in this study.The proposed method improved the feature extraction network by using Switchable Around Convolution(SAConv)in the backbone network to help the model capture target information at different scales,thus improving the feature extraction ability for small targets.Based on the attention mechanism,the DyHead module was embedded in the target detection head to reduce the impact of complex background,and better focus on the small targets.In addition,the NWD loss function was introduced and combined with CIoU loss.Compared to the CIoU loss function typically used in YOLOv7,the NWD loss function pays more attention to the processing of small targets,so as to further improve the detection ability of small targets.The experimental results on the HRSID dataset indicate that the proposed method achieved mAP@0.5 and mAP@0.95 scores of 93.5%and 71.5%,respectively.Compared to the baseline model,this represents an increase of 7.2%and 7.6%,respectively.The proposed method can effectively complete the task of SAR image small target detection.
