Open AccessFault tolerant control and tracking application of 7000 m manned submarine vehicle
Author(s) -
Sun Bing,
Zhu Daqi,
Hu Zhen,
Yang Simon X.
Publication year - 2015
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
eISSN - 2042-9746
pISSN - 2042-9738
DOI - 10.1049/iet-est.2013.0047
Subject(s) - submarine , convergence (economics) , particle swarm optimization , tracking (education) , fault tolerance , fault (geology) , control theory (sociology) , engineering , control engineering , control (management) , computer science , artificial intelligence , reliability engineering , algorithm , marine engineering , psychology , pedagogy , seismology , geology , economics , economic growth
A thruster fault tolerant control method based on quantum‐behaved particle swarm optimisation (QPSO) is investigated for 7000 m JIAOLONG manned submarine vehicle (MSV) in this study. First, QPSO is selected for the fast convergence and global search capability. To show the efficiency of QPSO fault tolerant method, PSO is studied as a comparison research. Then, to further apply the proposed method, tracking control problem with thruster fault is taken into consideration. Finally, simulations illustrate the performance of the derived fault tolerant tracking control technique.