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- W2384262434 abstract "In the traditional optimization design of flight control system( FCS),there are some disadvantages such as weak correlation between the single object and the flight quality requirements,ambiguous physical meaning and difficulty of using single object to optimize many objects at the same time. To solve such problem,an improved particle swarm optimization( PSO) algorithm was proposed. By simulating the foraging aggregation behavior of birds,the particles can be divided into several dynamic sub-swarms with respect to the finding and expanding of forage in the improved PSO algorithm. So that,the diversity of particles can be maintained by this method,thus can restrain local optimum phenomena. Finally,using the improved PSO algorithm for numerical simulation of a certain type of aircraft longitudinal control law,the results show that the proposed algorithm can effectively improve the efficiency of the FCS parameters tuning,and the results can meet the flight qualities requirements." @default.
- W2384262434 created "2016-06-24" @default.
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- W2384262434 date "2014-01-01" @default.
- W2384262434 modified "2023-09-23" @default.
- W2384262434 title "Research on Multi-objective Optimal Parameters Design of Aircraft Flight Control System" @default.
- W2384262434 hasPublicationYear "2014" @default.
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