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Optimal control strategy for marine SSP podded propulsion motor based on strong tracking-EPF

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Tom
S 1
Strony
4--9
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
  • Dept. of Marine Engineering, Qingdao Ocean Shipping Mariners College, Qingdao, China College of Marine Engineering, Dalian Maritime University, Dalian, China, tel:+86 532 85752355 fax:+86 532 85752355
autor
  • Dept. of Naval Architecture & Ocean Engineering Qingdao Ocean Shipping Mariners College Qingdao, China
autor
  • Dept. of Naval Architecture & Ocean Engineering, Qingdao Ocean Shipping Mariners College, Qingdao, China
autor
  • School of Shipbuilding Engineering, Journal of Harbin Engineering University, Harbin, China
autor
  • College of Marine Engineering Dalian Maritime University Dalian, China
autor
  • Dept. of Marine Engineering, Qingdao Ocean Shipping Mariners College Qingdao, China
autor
  • Dept. of Marine Engineering, Qingdao Ocean Shipping Mariners College Qingdao, China
autor
  • Dept. of Marine Engineering, Qingdao Ocean Shipping Mariners College Qingdao, China
Bibliografia
  • 1. Angelo C, Bossio G, Garcia G, et al.,2006. Speed control of PMSMs with interconnection an damping assignment or feedback linearization comments about their performance. Industrial Electronics. Montreal, 2182-2187.
  • 2. Cetin E, Oguz U,2008. A hybrid controller for the speed of a permanent magnet synchronous motor drive [J]. Control Engineering Practice,16, 260-270.
  • 3. Islam M F, Veitch B, Liu P, et al., 2010. Gap Effect on Performance of Podded Propulsors in Straight-Ahead and Azimuthing Conditions. Marine Technology, 47,47-58.
  • 4. Ji Feng,Fu Lijun,Ye Zhihao,2011. Study on Vector Control for Vessel Electric Propulsion. Journal of wuhan university of science and technology,35,361-364
  • 5. LI Bingqiang, LIN Hui,2011. Direct Control of Current Vector for Surface-mounted Permanent Magnet Synchronous Motor. Proceedings of the CSEE,31,288-294
  • 6. LI Liang-liang, HE Yong,YE Hai-xiang, 2011. Simulation of Permanent Magnet Synchronous Motor Vector Control Based on ITAE Optimization. Electric Machines & Control Application,38, 31-45
  • 7. Li Zhongbing,Zhang Huanren,2011. Extended Kalman Filter Enhanced Ship Electrical Propulsion System, Navigation of China, 34, 45-50
  • 8. Lu Wenbin Yao Wenxi Lü Zhengyu,2013. Speed Sensorless Vector Control with Improved Closed-Loop Flux Observer for Induction Machines. Transactions of China Electro Technical Society,28, 148-153.
  • 9. R. V.Merwe,A.Douvet,N.De.Freitas et al,2000. The unscented particle filter.Technical Report CUED/F@ INPENG/ TR380:Cambridge University Engi -neering Department.
  • 10. Sui Shu-lin,Yao Wen-long,2008. Spacecraft of autonomous optical navigation Based on wavelet-UPF. Systems Engineering and Elctronics. 8,1519-1522
  • 11. Suman Maiti, Chandan Chakraborty, Sabyasachi Sengupta, 2009. Simulation studies on model reference adaptive controller based speed estimation technique for the vector controlled permanent magnet synchronous motor drive. Simulation Modelling Practice and Theory,7, 585-596.
  • 12. Van Dyke M C, Schwartz J L , Hall C D,2004. Unscented Kalman filtering for spacecraft attitude state and parameter estimation. http: www. Space-flight org/AAS_ meetings/ 2004_ winter /w2004-program.pdf, 2004-0310.
  • 13. WANG Li-peng, ZHANG Hua-guang,LIU Xiuchong,2012. Integral backstepping controller in the sensorless vector-control system for permanent magnet synchronous motor. Control Theory & Applications, 29,199-204
  • 14. Wenlong Yao, Yuan Liu ,Jundong Zhang, Sun Ming , Zhang Gui-chen and Wei shao,2013. Design of Vector Control based on MFAC for SSP Podded Propulsion, Proc. of the Int. Conf. on Robotics and Biomimetics (ROBIO 2013), 12,2418-2423
  • 15. Wenlong Yao, Jundong Zhang,Ronghu Chi, Zhang Gui-chen. Model-free adaptive vector control of ship podded SSP propulsion motor, Journal of Traffic and Transportation Engineering, 2014,14(6): 59-66.
  • 16. YU Ming, CONG Shuang, XU Juan,2008. Design of nonlinear motor adaptive fuzzy sliding mode controller based on GA, Journal of System Simulation. 20, 31413145.
  • 17. ZHANG Guichen, MA Jie, 2010. Study and Application of Podded Electric Propulsion System Based on SIMOTION. Ship Building of China, 51,45-50.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fb68b93f-a725-4bf9-a3b9-4aae878c914b
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