Abstract：Full digital invert power sources are surrounded by harsh circumstance with large current and strong interference. So feedback signals must be filtered to realize the full digitalization. A new method is proposed to eliminate the noise, which is based on Kalman prediction. First, the current feedback signal is studied to know characteristics of real and noise signals. Then, the Kalman minimum variance estimation equation group is established. The interference pulse occurrence time and amplitude are determined according to the difference between the signal measurement and prediction values. Third, threshold of the residual is set as the critical point of signal processing to obtain useful information from original signals and supply correct feedback signals for the current-mode pulse width modulation (PWM) controller. Finally, experimental results show the filter based on Kalman prediction has better performance than the moving average filter and Butterworth filter, which can reduce process and measurement noised effectively, and has fast dynamic response and no phase shift. The full digital inverter can work accurately and steadily.
段彬, 孙同景, 李振华, 黄长伟, 张光先. 全数字逆变电源信号Kalman预测处理[J]. 电工技术学报, 2010, 25(1): 118-122.
Duan Bin, Sun Tongjing, Li Zhenhua, Huang Changwei, Zhang Guangxian. Full Digital Inverter Signal Processing Based on Kalman Prediction. Transactions of China Electrotechnical Society, 2010, 25(1): 118-122.
[1] Palani P K, Murugan N. Selection of parameter of pulsed current gas metal arc welding[J]. Journal of Materials Processing Technology, 2006, 172: 1-10. [2] 邓自立. 自校正滤波理论及其应用——现代时间序列分析方法[M]. 哈尔滨: 哈尔滨工业大学出版社, 2003. [3] Greg Welch, Gary Bishop. An introduction to the Kalman filter[M]. North Carolina: University of North Carolina at Chapel Hill, 1995. [4] 高向东, 陈永平, 袁弱男, 等. 卡尔曼滤波焊缝跟踪控制[J]. 控制理论与应用, 2007, 24(6): 977-980. [5] 陈晓荣, 陈淑芬. 变维卡尔曼滤波实现运动目标的跟踪[J]. 仪器仪表学报, 2006, 27(9): 1163-1166. [6] Guo Qiang, Yu Songnian. Distributed multisensor data fusion based on Kalman filtering and the parallel implementation[J]. Journal of Shanghai University (English Edition), 2006, 10(2): 118-122. [7] Zheng Tongxin, Girgis A, Makram B. A hybrid wavelet Kalman filter method for load forecasting[J]. Electric Power Systems Research, 2000, 54(1): 11-17. [8] 刘惟锦, 章毓晋. 基于Kalman滤波和边缘直方图的实时目标跟踪[J]. 清华大学大学学报(自然科学版), 2008, 48(7): 1104-1107. [9] Silverio Bolognani, Luca Tubiana, Mauro Zigliotto. Extended Kalman filter tuning in sensorless PMSM drives[J]. IEEE Transactions on Industry Applications, 2003, 39(6): 1741-1747. [10] 陈建辉, 高向东, 刘明涛, 等. 基于卡尔曼滤波的焊缝跟踪技术研究[J]. 焊接技术, 2008, 37(1): 11-12.
2010, Vol. 25 
