基于混沌粒子群的增量式推力分配算法研究

针对伪逆法在推力分配中仅考虑能量最优问题,提出一种具备大范围寻优能力的改进混沌粒子群算法(CPSO),并把该方法和伪逆法相融合应用到船舶的推力分配中,此外为提高寻优能力,推力分配计算采用增量模式。该融合算法考虑推力器各种限制条件,计算简单,能兼顾船舶的能耗及操作性,解决奇点问题。仿真结果表明,该推力分配算法切实可行,能有效提高船舶的定位性能,具备一定的实用价值。

Research on Incremental Thrust Allocation Algorithm Based on Chaos Particle Swarm Optimization Algorithm

In this paper, fusion of pseudo inverse method and improved chaos particle swarm algorithm(CPSO) with large range searching optimization ability is designed in order to resolve the problem of thrust allocation with pseudo inverse method, in addition ,the incremental model of thrust allocation is used to improve the searching ability. the algorithm is simple and convenient to handle and calculate various constraints of thrust allocation, and both consumption and maneuverability are considered, it can solve the singularity problem. Finally, a dredger as an example, simulation results show that the algorithm is feasible, and dynamic performances of dynamic positioning ship are improved availably, and it has certain practical value.