针对飞机4kW DC 270V至DC 28V开关电源的应用需要,提出了开关电源的数字环路控制设计方法。根据开关电源硬件,构建了等效电路,获得被控对象的传递函数。根据数字控制系统模型,先设计模拟调节器,再将模拟调节器离散化、整数化,获得适合...针对飞机4kW DC 270V至DC 28V开关电源的应用需要,提出了开关电源的数字环路控制设计方法。根据开关电源硬件,构建了等效电路,获得被控对象的传递函数。根据数字控制系统模型,先设计模拟调节器,再将模拟调节器离散化、整数化,获得适合于定点型数字信号处理器(DSP)的数字调节器。结合定点型DSP的特点,对环路控制的关键点进行了论述。测试结果表明:所设计的环路可使开关电源的电压调整率小于0.5%,负载调整率小于1.2%;负载在40%~100%间切换时,电压波动为-1.2V^0.7V,恢复时间小于5 ms。展开更多
Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving o...Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving object detection algorithms is based on Adaptive Gaussian Mixture Model (AGMM). Although ACMM-hased object detection shows very good performance with respect to object detection accuracy, AGMM is very complex model requiring lots of floatingpoint arithmetic so that it should pay for expensive computational cost. Thus, direct implementation of the AGMM-based object detection for embedded DSPs without floating-point arithmetic HW support cannot satisfy the real-time processing requirement. This paper presents a novel rcal-time implementation of adaptive Gaussian mixture model-based moving object detection algorithm for fixed-point DSPs. In the proposed implementation, in addition to changes of data types into fixed-point ones, magnification of the Gaussian distribution technique is introduced so that the integer and fixed-point arithmetic can be easily and consistently utilized instead of real nmnher and floatingpoint arithmetic in processing of AGMM algorithm. Experimental results shows that the proposed implementation have a high potential in real-time applications.展开更多
文摘针对飞机4kW DC 270V至DC 28V开关电源的应用需要,提出了开关电源的数字环路控制设计方法。根据开关电源硬件,构建了等效电路,获得被控对象的传递函数。根据数字控制系统模型,先设计模拟调节器,再将模拟调节器离散化、整数化,获得适合于定点型数字信号处理器(DSP)的数字调节器。结合定点型DSP的特点,对环路控制的关键点进行了论述。测试结果表明:所设计的环路可使开关电源的电压调整率小于0.5%,负载调整率小于1.2%;负载在40%~100%间切换时,电压波动为-1.2V^0.7V,恢复时间小于5 ms。
基金supported by Soongsil University Research Fund and BK 21 of Korea
文摘Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving object detection algorithms is based on Adaptive Gaussian Mixture Model (AGMM). Although ACMM-hased object detection shows very good performance with respect to object detection accuracy, AGMM is very complex model requiring lots of floatingpoint arithmetic so that it should pay for expensive computational cost. Thus, direct implementation of the AGMM-based object detection for embedded DSPs without floating-point arithmetic HW support cannot satisfy the real-time processing requirement. This paper presents a novel rcal-time implementation of adaptive Gaussian mixture model-based moving object detection algorithm for fixed-point DSPs. In the proposed implementation, in addition to changes of data types into fixed-point ones, magnification of the Gaussian distribution technique is introduced so that the integer and fixed-point arithmetic can be easily and consistently utilized instead of real nmnher and floatingpoint arithmetic in processing of AGMM algorithm. Experimental results shows that the proposed implementation have a high potential in real-time applications.