基于电池的戴维宁(Thevenin)模型,设计了多模型自适应卡尔曼滤波器,并将多模型自适应卡尔曼滤波器应用于电动汽车电池荷电状态(state-of-charge,SOC)估计。由于老化电池是未知系统,利用传统的单一模型卡尔曼滤波器估计老化电池SOC时,因...基于电池的戴维宁(Thevenin)模型,设计了多模型自适应卡尔曼滤波器,并将多模型自适应卡尔曼滤波器应用于电动汽车电池荷电状态(state-of-charge,SOC)估计。由于老化电池是未知系统,利用传统的单一模型卡尔曼滤波器估计老化电池SOC时,因模型不准确而使估计误差增大。与单一模型滤波估计相比,多模型滤波估计融合了电池的各种老化信息,适合于未知系统的状态估计,从而提高了SOC的估计精度,并通过实验证明了上述结论的正确性。利用多模型自适应卡尔曼滤波器估计电池SOC,老化电池的模型与权值最大的单一模型较接近,根据单一模型权值可以近似估计出老化电池的健康状态(state of health,SOH),并通过电池容量测量,证明了SOH估计的正确性。展开更多
Pure inertial navigation system(INS) has divergent localization errors after a long time. In order to compensate the disadvantage, wireless sensor network(WSN) associated with the INS was applied to estimate the mobil...Pure inertial navigation system(INS) has divergent localization errors after a long time. In order to compensate the disadvantage, wireless sensor network(WSN) associated with the INS was applied to estimate the mobile target positioning. Taking traditional Kalman filter(KF) as the framework, the system equation of KF was established by the INS and the observation equation of position errors was built by the WSN. Meanwhile, the observation equation of velocity errors was established by the velocity difference between the INS and WSN, then the covariance matrix of Kalman filter measurement noise was adjusted with fuzzy inference system(FIS), and the fuzzy adaptive Kalman filter(FAKF) based on the INS/WSN was proposed. The simulation results show that the FAKF method has better accuracy and robustness than KF and EKF methods and shows good adaptive capacity with time-varying system noise. Finally, experimental results further prove that FAKF has the fast convergence error, in comparison with KF and EKF methods.展开更多
当前数字电视发展速度很快,在个别地方甚至已经开始逐步普及,但是由于经济,技术等原因,在电视广播领域,模拟电视广播还将在很长一段时间内占据主导地位.在不改变现有模拟电视广播系统的条件下,如何有效的提高视频图像的质量已经成为一...当前数字电视发展速度很快,在个别地方甚至已经开始逐步普及,但是由于经济,技术等原因,在电视广播领域,模拟电视广播还将在很长一段时间内占据主导地位.在不改变现有模拟电视广播系统的条件下,如何有效的提高视频图像的质量已经成为一个热门的话题.将数字解码技术用在改善传统的模拟电视广播质量上,用数字方法提高模拟视频的图像质量,和传统的模拟视频解码相比,解码性能较高,并且为后端数字视频处理提供优质视频源.对于模拟视频信号的解码系统,亮色分离和色度解调是视频解码的两个关键点.对于NTSC(national television system committee)制式的视频解码,当前已有的几种优质的解码算法中,亮色分离均用3D自适应梳状滤波,色度解调采用数字锁相环,均能实现优质的视频解码效果,但其共同点为算法复杂,硬件实现难度大,成本高.本文在深入研究NTSC制式编解码的基础上提出一种精简高效的数字解码方法,将传统的NTSC制式彩色全电视信号,通过高速高分辨率的FPGA(field programmable gate array)硬件采集系统转化为数字视频流,提出一种改进型自适应2D梳状滤波器进行亮色分离,相比3D梳状滤波器,在满足视频解码质量需要的基础上大幅度简化了算法,利用相位估计法恢复色同步副载波,相比数字锁相环,除简化了算法外,还避免了数字锁相环偶尔失锁的可能,且对前端视频数字化采集的采样率无特殊要求.解码后的视频分量信号可在数字视频设备上直接显示,并可为后端的数字视频图像处理等提供优质的数字视频信号源.该解码算法在MATLAB上模拟,具有解码后的图像质量良好,运算速度快和解码系统精简等特点.展开更多
文摘基于电池的戴维宁(Thevenin)模型,设计了多模型自适应卡尔曼滤波器,并将多模型自适应卡尔曼滤波器应用于电动汽车电池荷电状态(state-of-charge,SOC)估计。由于老化电池是未知系统,利用传统的单一模型卡尔曼滤波器估计老化电池SOC时,因模型不准确而使估计误差增大。与单一模型滤波估计相比,多模型滤波估计融合了电池的各种老化信息,适合于未知系统的状态估计,从而提高了SOC的估计精度,并通过实验证明了上述结论的正确性。利用多模型自适应卡尔曼滤波器估计电池SOC,老化电池的模型与权值最大的单一模型较接近,根据单一模型权值可以近似估计出老化电池的健康状态(state of health,SOH),并通过电池容量测量,证明了SOH估计的正确性。
基金Project(2013AA06A411)supported by the National High Technology Research and Development Program of ChinaProject(CXZZ14_1374)supported by the Graduate Education Innovation Program of Jiangsu Province,ChinaProject supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions,China
文摘Pure inertial navigation system(INS) has divergent localization errors after a long time. In order to compensate the disadvantage, wireless sensor network(WSN) associated with the INS was applied to estimate the mobile target positioning. Taking traditional Kalman filter(KF) as the framework, the system equation of KF was established by the INS and the observation equation of position errors was built by the WSN. Meanwhile, the observation equation of velocity errors was established by the velocity difference between the INS and WSN, then the covariance matrix of Kalman filter measurement noise was adjusted with fuzzy inference system(FIS), and the fuzzy adaptive Kalman filter(FAKF) based on the INS/WSN was proposed. The simulation results show that the FAKF method has better accuracy and robustness than KF and EKF methods and shows good adaptive capacity with time-varying system noise. Finally, experimental results further prove that FAKF has the fast convergence error, in comparison with KF and EKF methods.
文摘当前数字电视发展速度很快,在个别地方甚至已经开始逐步普及,但是由于经济,技术等原因,在电视广播领域,模拟电视广播还将在很长一段时间内占据主导地位.在不改变现有模拟电视广播系统的条件下,如何有效的提高视频图像的质量已经成为一个热门的话题.将数字解码技术用在改善传统的模拟电视广播质量上,用数字方法提高模拟视频的图像质量,和传统的模拟视频解码相比,解码性能较高,并且为后端数字视频处理提供优质视频源.对于模拟视频信号的解码系统,亮色分离和色度解调是视频解码的两个关键点.对于NTSC(national television system committee)制式的视频解码,当前已有的几种优质的解码算法中,亮色分离均用3D自适应梳状滤波,色度解调采用数字锁相环,均能实现优质的视频解码效果,但其共同点为算法复杂,硬件实现难度大,成本高.本文在深入研究NTSC制式编解码的基础上提出一种精简高效的数字解码方法,将传统的NTSC制式彩色全电视信号,通过高速高分辨率的FPGA(field programmable gate array)硬件采集系统转化为数字视频流,提出一种改进型自适应2D梳状滤波器进行亮色分离,相比3D梳状滤波器,在满足视频解码质量需要的基础上大幅度简化了算法,利用相位估计法恢复色同步副载波,相比数字锁相环,除简化了算法外,还避免了数字锁相环偶尔失锁的可能,且对前端视频数字化采集的采样率无特殊要求.解码后的视频分量信号可在数字视频设备上直接显示,并可为后端的数字视频图像处理等提供优质的数字视频信号源.该解码算法在MATLAB上模拟,具有解码后的图像质量良好,运算速度快和解码系统精简等特点.
