Title :
An Inductor Current Observer Based on Improved EKF for DC/DC Converter
Author :
Qiao Zhang ; Qiaoling Tong ; Huangpeng Zhang
Author_Institution :
Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In order to reduce the voltage noise caused by Electromagnetic Interference (EMI), and eliminate the steady state error caused by load changes, a inductor current observer based on an improved Extended Kalman Filter (EKF) has been proposed. First, the current observer and EKF are introduced, and then the improved EKF with load estimation algorithm is proposed. The actual load can be estimated according to the output voltage of the improved EKF, the inductor current and the PWM duty ratio. Thereby the EKF parameters can be updated in real time, so that the inductor current can be accurately estimated by the current observer. Finally, the proposed current observer is verified by experiment. When the load disturbance happens, the experimental results show that the improved EKF can efficiently filter out the output voltage noise caused by EMI and guarantee the DC/DC converter output voltage accuracy.
Keywords :
DC-DC power convertors; Kalman filters; PWM power convertors; electromagnetic interference; inductors; nonlinear filters; observers; DC-DC converter output voltage accuracy; EMI; PWM duty ratio; electromagnetic interference; improved EKF; improved extended Kalman filter; inductor current observer; load change; load disturbance; load estimation algorithm; output voltage noise filter; steady state error elimination; voltage noise reduction; Electromagnetic interference; Equations; Inductors; Kalman filters; Noise; Observers; DC/DC converter; current mode control; current observer; improved Extended Kalman Filter;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
DOI :
10.1109/IS3C.2014.235