Yao, W.; Zhang, J.; Liu, Y.; Zhou, M.; Sun, M., and Zhang G., 2015. Improved vector control for marine podded propulsion control system based on wavelet analysis.

In this paper, the rotor speed and the position of the marine SSP propulsion motor were estimated for building sensorless vector control system with speed and current double closed loops, based on a wavelet square-root unscented Kalman filter (Wavelet-SRUKF) algorithm. The observed data were pretreated by wavelet analysis and the high frequency noise was filtered, thus offering further smooth observed data for the UKF (Unscented Kalman Filter). This Wavelet-SRUKF algorithm can not only filter the spike point but also showed a better dynamic tracing property of the marine SSP podded propulsion system. Simulation results showed that the improved UKF algorithm was more accurate and demonstrated a higher rate of convergence compared with UKF speed controller.