Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf
Aiming at the non-linearity of state equation and observation equation of SSP (Siemen Schottel Propulsor) propulsion motor, an improved particle filter algorithm based on strong tracking extent Kalman filter (ST-EKF) was presented, and it was imported into the marine SSP propulsion motor control sys...
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doaj-2a67d3079dbd4614b14ff77aedcb31da2021-09-05T13:59:48ZengSciendoPolish Maritime Research2083-74292015-09-0122s14910.1515/pomr-2015-0024pomr-2015-0024Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-EpfYao Wenlong0Liu Yuan1Sun Honghai2Zhang Guichen3Zhang Jundong4Zhou Mingshun5Sun Ming6Jiang Dezhi7Dept. of Marine Engineering, Qingdao Ocean Shipping Mariners College, Qingdao, ChinaDept. of Naval Architecture & Ocean Engineering, Qingdao OceanShipping Mariners College, Qingdao, ChinaDept. of Naval Architecture & Ocean Engineering, Qingdao OceanShipping Mariners College, Qingdao, ChinaSchool of Shipbuilding Engineering, Journal of Harbin Engineering University, Harbin, ChinaCollege of Marine Engineering, Dalian Maritime University, Dalian, ChinaDept. of Marine Engineering, Qingdao Ocean Shipping Mariners College, Qingdao, ChinaDept. of Marine Engineering, Qingdao Ocean Shipping Mariners College, Qingdao, ChinaDept. of Marine Engineering, Qingdao Ocean Shipping Mariners College, Qingdao, ChinaAiming at the non-linearity of state equation and observation equation of SSP (Siemen Schottel Propulsor) propulsion motor, an improved particle filter algorithm based on strong tracking extent Kalman filter (ST-EKF) was presented, and it was imported into the marine SSP propulsion motor control system. The strong tracking filter was used to update particles in the new algorithm and produce importance densities. As a result, the problems of particle degeneracy and sample impoverishment were ameliorated, the propulsion motor states and the rotor resistance were estimated simultaneously using strong track filter (STF), and the tracking ability of marine SSP propulsion motor control system was improved. Simulation result shown that the improved EPF algorithm was not only improving the prediction accuracy of the motor states and the rotor resistance, but also it can satisfy the requirement of navigation in harbor. It had the better accuracy than EPF algorithm.https://doi.org/10.1515/pomr-2015-0024marine electric propulsionepfst-epfssp podded propulsionpropulsion motor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yao Wenlong Liu Yuan Sun Honghai Zhang Guichen Zhang Jundong Zhou Mingshun Sun Ming Jiang Dezhi |
spellingShingle |
Yao Wenlong Liu Yuan Sun Honghai Zhang Guichen Zhang Jundong Zhou Mingshun Sun Ming Jiang Dezhi Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf Polish Maritime Research marine electric propulsion epf st-epf ssp podded propulsion propulsion motor |
author_facet |
Yao Wenlong Liu Yuan Sun Honghai Zhang Guichen Zhang Jundong Zhou Mingshun Sun Ming Jiang Dezhi |
author_sort |
Yao Wenlong |
title |
Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf |
title_short |
Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf |
title_full |
Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf |
title_fullStr |
Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf |
title_full_unstemmed |
Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf |
title_sort |
optimal control strategy for marine ssp podded propulsion motor based on strong tracking-epf |
publisher |
Sciendo |
series |
Polish Maritime Research |
issn |
2083-7429 |
publishDate |
2015-09-01 |
description |
Aiming at the non-linearity of state equation and observation equation of SSP (Siemen Schottel Propulsor) propulsion motor, an improved particle filter algorithm based on strong tracking extent Kalman filter (ST-EKF) was presented, and it was imported into the marine SSP propulsion motor control system. The strong tracking filter was used to update particles in the new algorithm and produce importance densities. As a result, the problems of particle degeneracy and sample impoverishment were ameliorated, the propulsion motor states and the rotor resistance were estimated simultaneously using strong track filter (STF), and the tracking ability of marine SSP propulsion motor control system was improved. Simulation result shown that the improved EPF algorithm was not only improving the prediction accuracy of the motor states and the rotor resistance, but also it can satisfy the requirement of navigation in harbor. It had the better accuracy than EPF algorithm. |
topic |
marine electric propulsion epf st-epf ssp podded propulsion propulsion motor |
url |
https://doi.org/10.1515/pomr-2015-0024 |
work_keys_str_mv |
AT yaowenlong optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf AT liuyuan optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf AT sunhonghai optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf AT zhangguichen optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf AT zhangjundong optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf AT zhoumingshun optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf AT sunming optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf AT jiangdezhi optimalcontrolstrategyformarinessppoddedpropulsionmotorbasedonstrongtrackingepf |
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