Thrust distribution algorithm based on supervision and switching and swarm intelligence

Abstract

The ship power positioning control system is the key to maintain the normal operation of the ship, and it is also the basic premise and foundation for the accurate positioning and stable forward movement of the ship, so many ship management and production enterprises attach great importance to the design and construction of the ship power positioning control system. "Thrust distribution" has always been the key technology for designing and constructing ship power positioning control system. When constructing ship power positioning control system by using thrust distribution technology, it is not only necessary to consider the constraint optimization of thrust limit and thrust rate of change limit of propeller, but also the constraint optimization of azimuth rate of change limit, mechanical wear optimization, restricted area limit optimization, etc. It is also necessary to consider the constraint optimization of azimuth rate of change limit, mechanical wear and tear, restricted area limit, etc. The thrust distribution algorithm based on supervision and switching and group intelligence can comprehensively deal with these constraints, which can improve the functions of the ship power positioning control system and solve the convergence problem in the system operation, and improve the operation efficiency, safety and stability of the ship power positioning control system. In this paper, the author discusses the thrust distribution algorithm based on supervision and switching and group intelligence in depth, combining relevant literature and the actual problem of thrust distribution.